https://airwiki.deib.polimi.it/api.php?action=feedcontributions&feedformat=atom&user=DanieleLoiacono 2026-04-03T17:22:30Z User contributions MediaWiki 1.25.6 https://airwiki.deib.polimi.it/index.php?title=User:DanieleLoiacono&diff=15610 2012-10-25T08:13:14Z

<p>DanieleLoiacono: /* About me */</p> <hr /> <div>{{Prof<br /> |category=Prof<br /> |firstname=Daniele<br /> |lastname=Loiacono<br /> |email=loiacono@elet.polimi.it<br /> |resarea=Computational Intelligence and Games<br /> |photo=DanieleLoiacono.jpg<br /> }} <br /> <br /> == About me ==<br /> <br /> I was born in Lecco, Italy, in 1980. I graduated cum laude in 2004 in Computer Engineering and I received a Ph.D. in Computer Engineering in 2008 from Politecnico di Milano. Since 2011, I am an assistant professor at the Department of Electronics and Information of Politecnico di Milano. My main research interests include machine learning and evolutionary computation.<br /> <br /> == Links ==<br /> [http://home.dei.polimi.it/loiacono Homepage]<br /> <br /> [[Category:Prof]]</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9394 2009-11-18T08:34:11Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |image=Milestone.jpg<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (http://www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Intelligenza Artificiale in Videogiochi di Corse Motociclistiche'''<br /> <br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=PierLucaLanzi;<br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=File:Milestone.jpg&diff=9393 2009-11-18T08:33:27Z

<p>DanieleLoiacono: uploaded a new version of &quot;Image:Milestone.jpg&quot;</p> <hr /> <div></div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9392 2009-11-18T08:30:30Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |image=Milestone.jpg<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (http://www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Intelligenza Artificiale in Videogiochi di Corse Motociclistiche'''<br /> <br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=PierLucaLanzi;<br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=dd<br /> |level=Bs; Ms<br /> |type=Thesis<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=File:Milestone.jpg&diff=9391 2009-11-18T08:30:01Z

<p>DanieleLoiacono: </p> <hr /> <div></div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9390 2009-11-18T08:24:45Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (http://www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Intelligenza Artificiale in Videogiochi di Corse Motociclistiche'''<br /> <br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=PierLucaLanzi; <br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Thesis<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=User:PierLucaLanzi&diff=9389 2009-11-18T08:23:50Z

<p>DanieleLoiacono: New page: {{Student |category=Prof |firstname=Pier Luca |lastname=Lanzi |email=lanzi@elet.polimi.it |status=active }}</p> <hr /> <div>{{Student<br /> |category=Prof<br /> |firstname=Pier Luca<br /> |lastname=Lanzi<br /> |email=lanzi@elet.polimi.it<br /> |status=active<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9388 2009-11-18T08:20:53Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (http://www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Intelligenza Artificiale in Videogiochi di Corse Motociclistiche'''<br /> <br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=DanieleLoiacono; <br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Thesis<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9387 2009-11-18T08:20:42Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (http://www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche'''<br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Intelligenza Artificiale in Videogiochi di Corse Motociclistiche'''<br /> <br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=DanieleLoiacono; <br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Thesis<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9386 2009-11-18T08:20:30Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (http://www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche'''<br /> <br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> '''Intelligenza Artificiale in Videogiochi di Corse Motociclistiche'''<br /> <br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=DanieleLoiacono; <br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Thesis<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9385 2009-11-18T08:18:23Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche<br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche<br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> Intelligenza Artificiale in Videogiochi di Corse Motociclistiche<br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=DanieleLoiacono; <br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Thesis<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Tesi/Stage_in_Milestone&diff=9384 2009-11-18T08:18:06Z

<p>DanieleLoiacono: New page: {{ProjectProposal |title=Tesi/Stage in Milestone |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (www.milestone.it) nell’ambito dei videogiochi di corse auto...</p> <hr /> <div>{{ProjectProposal<br /> |title=Tesi/Stage in Milestone<br /> |description=Sono disponibili tre tesi/stage in collaborazione con Milestone (www.milestone.it) nell’ambito dei videogiochi di corse automobilistiche e motociclistiche. I candidati ideali devono avere una forte motivazione personale, passione per i videogiochi e conoscenza del C++<br /> <br /> Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it<br /> <br /> Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche<br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni automobilistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero mevero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altri veicoli, il recupero da situazioni di emergenza, ecc. Terminatala fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche<br /> Questa tesi prevede lo studio delle dinamiche dei comportamenti dei piloti in competizioni motociclistiche su circuito e lo sviluppo di una intelligenza artificiale in grado di imitare i comportamenti di un vero vero pilota. In particolare, il lavoro di tesi si concentrerà su comportamenti di gruppo come i sorpassi, le manovre per evitare collisioni con altre moto, il recupero da situazioni di emergenza, ecc. Terminata la fase di analisi e l’implementazione di un prototipo, verrà valutata la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> <br /> Intelligenza Artificiale in Videogiochi di Corse Motociclistiche<br /> La tesi prevede l’analisi e l’implementazione dell’intelligenza artificiale per un videogioco di corse motociclistiche. Il sistema dovrà essere in grado di eseguire in modo corretto ed efficace un insieme di manovre complesse quali: l’accelerazione da fermo, la frenata in situazioni limite, l’approccio ad una curva che preveda la fase di stacco, di impostazione, di percorrenza e di uscita, l’approccio a serie di curve, ecc. Si valuterà la possibilità di inserire tale implementazione all’interno di un videogioco di ultima generazione.<br /> |tutor=DanieleLoiacono; <br /> |start=2009/11/18<br /> |studmin=1<br /> |studmax=3<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=dd<br /> |level=Bs; Ms<br /> |type=Thesis<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=2nd_Level_Theses&diff=9349 2009-11-11T06:44:12Z

<p>DanieleLoiacono: </p> <hr /> <div>Here you can find proposals for master thesis (20 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Evolutionary Optimization and Stochastic Optimization ====--&gt;<br /> ==== Agents, Multiagent Systems, Agencies ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Agents, Multiagent Systems, Agencies]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== BioSignal Analysis ====--&gt;<br /> ===== Brain-Computer Interface =====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::BioSignal Analysis]]<br /> [[PrjResTopic::Brain-Computer Interface]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Computer Vision and Image Analysis ====--&gt;<br /> &lt;!--==== E-Science ====--&gt;<br /> ==== Machine Learning ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> <br /> ==== Computational Intelligence and Games ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Computational Intelligence and Games]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> &lt;!--==== Affective Computing ====--&gt;<br /> <br /> <br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Social Software and Semantic Web]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====--&gt;<br /> <br /> ==== Robotics ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Soft Computing ====--&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=2nd_Level_Course_Projects&diff=9348 2009-11-11T06:39:58Z

<p>DanieleLoiacono: </p> <hr /> <div>Here you can find a list of project proposals for the courses of &quot;Laboratorio di Intelligenza Artificiale e Robotica&quot; (5 CFU for each student) and &quot;Soft Computing&quot; (1 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== BioSignal Analysis ====--&gt;<br /> &lt;!--===== Brain-Computer Interface =====--&gt;<br /> &lt;!--==== Computer Vision and Image Analysis ====--&gt;<br /> &lt;!--==== E-Science ====--&gt;<br /> ==== Machine Learning ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Computational Intelligence and Games ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Computational Intelligence and Games]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]]<br /> [[PrjResArea::Social Software and Semantic Web]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====<br /> --&gt;<br /> <br /> ==== Robotics ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> <br /> &lt;!--==== Soft Computing ====--&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=1st_Level_Theses&diff=9347 2009-11-11T06:38:27Z

<p>DanieleLoiacono: </p> <hr /> <div>Here you can find proposals for first level thesis (7.5 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Agents, Multiagent Systems, Agencies ====<br /> --&gt;<br /> &lt;!--==== BioSignal Analysis ====<br /> --&gt;<br /> &lt;!--===== Brain-Computer Interface =====<br /> --&gt;<br /> &lt;!--==== Computer Vision and Image Analysis ====<br /> --&gt;<br /> &lt;!--==== E-Science ====<br /> --&gt;<br /> <br /> ==== Computational Intelligence and Games ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Computational Intelligence and Games]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> <br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Social Software and Semantic Web]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====<br /> --&gt;<br /> <br /> ==== Machine Learning ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Robotics ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Affective Computing ====<br /> --&gt;<br /> &lt;!--==== Soft Computing ====<br /> --&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Human-Like_AI_in_Games&diff=9346 2009-11-11T06:37:34Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Human-Like AI in Games<br /> |image=UT2004.png<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *Drivatar in Forza Motorsport (http://research.microsoft.com/en-us/projects/drivatar/default.aspx) <br /> *TORCS (http://torcs.sourceforge.net/ TORCS)<br /> *Botprize (http://botprize.org/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Data_Mining_in_Computer_Games&diff=9345 2009-11-11T06:37:24Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Data Mining in Computer Games<br /> |image=QLive.png<br /> |description=Today a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players.<br /> Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live.<br /> Please contact us for additional information.<br /> ;References<br /> * TORCS (http://torcs.sourceforge.net/)<br /> *QuakeLive (http://www.quakelive.com)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=1st_Level_Course_Projects&diff=9344 2009-11-11T06:36:41Z

<p>DanieleLoiacono: </p> <hr /> <div>Here you can find a list of project proposals for the courses of &quot;Progetto di Ingegneria Informatica&quot; and &quot;Progetto di Robotica&quot; (5 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Agents, Multiagent Systems, Agencies ====--&gt;<br /> <br /> &lt;!--==== BioSignal Analysis ====--&gt;<br /> <br /> ===== Brain-Computer Interface =====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::BioSignal Analysis]]<br /> [[PrjResTopic::Brain-Computer Interface]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Affective Computing ====--&gt;<br /> <br /> &lt;!--==== Computer Vision and Image Analysis ====--&gt;<br /> <br /> <br /> <br /> &lt;!--==== E-Science ====--&gt;<br /> <br /> ==== Computational Intelligence and Games ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Computational Intelligence and Games]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> <br /> <br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> &lt;!-- ===== Social Network Analysis ===== --&gt;<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]]<br /> [[PrjResArea::Social Software and Semantic Web]] |<br /> &lt;!-- [[PrjResTopic::Social Network Analysis]] | --&gt;<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====--&gt;<br /> <br /> <br /> <br /> ==== Machine Learning ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Robotics ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Human-Like_AI_in_Games&diff=9343 2009-11-11T06:35:53Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Human-Like AI in Games<br /> |image=UT2004.png<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *Drivatar in Forza Motorsport (http://research.microsoft.com/en-us/projects/drivatar/default.aspx) <br /> *TORCS (http://torcs.sourceforge.net/ TORCS)<br /> *Botprize (http://botprize.org/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games;<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Data_Mining_in_Computer_Games&diff=9342 2009-11-11T06:35:38Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Data Mining in Computer Games<br /> |image=QLive.png<br /> |description=Today a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players.<br /> Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live.<br /> Please contact us for additional information.<br /> ;References<br /> * TORCS (http://torcs.sourceforge.net/)<br /> *QuakeLive (http://www.quakelive.com)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games; <br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Automatic_Content_Generation_in_Computer_Games&diff=9341 2009-11-11T06:35:19Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Automatic Content Generation in Computer Games <br /> |image=gar.jpg<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picture taken from http://gar.eecs.ucf.edu/<br /> ;References<br /> *Galactic Arm Race (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono<br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=AI_in_Racing_Games&diff=9340 2009-11-11T06:34:18Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=AI in Racing Games <br /> |image=TORCS2.jpg<br /> |description= This project is focused on TORCS, a state-of-the-art open source racing simulator. From one hand, TORCS represents an ideal bechmark to study Computational Intelligence techniques. On the other hand, Computational Intelligence techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> References:<br /> *Drivatar in Forza Motorsport (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono<br /> |start=2009/10/1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=AI_in_Racing_Games&diff=9339 2009-11-11T06:33:59Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=AI in Racing Games <br /> |image=TORCS2.jpg<br /> |description= This project is focused on TORCS, a state-of-the-art open source racing simulator. From one hand, TORCS represents an ideal bechmark to study Computational Intelligence techniques. On the other hand, Computational Intelligence techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> References:<br /> *Drivatar in Forza Motorsport (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono<br /> |start=2009/10/1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=First_Level_Theses&diff=9166 2009-10-29T18:55:48Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find proposals for first level thesis (7.5 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Agents, Multiagent Systems, Agencies ====<br /> --&gt;<br /> ==== BioSignal Analysis ====<br /> ===== Brain-Computer Interface =====<br /> <br /> {{Project template<br /> |title=Real-time removal of ocular artifact from EEG<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=In a [[Brain-Computer Interface|BCI]] based on electroencephalogram (EEG), one of the most important sources of noise is related to ocular movements. Algorithms have been devised to cancel the effect of such artifacts. The project consists in the in the implementation in real time of an existing algorithm (or one newly developed) in order to improve the performance of a BCI.<br /> <br /> ;Tools and instruments<br /> :Matlab, [http://www.bci2000.org/ BCI2000], C++<br /> :EEG system<br /> <br /> ;Bibliography<br /> : J.R. Wolpaw et al. ''Brain-computer interfaces for communication and control'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;journal=13882457&amp;issue=v113i0006&amp;article=767_bifcac&amp;form=pdf&amp;file=file.pdf]<br /> : R.J. Croff, R.J. Barry. ''Removal of ocular artifact from the EEG: a review'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;issn=09877053&amp;volume=30&amp;issue=1&amp;firstpage=5&amp;form=html]<br /> |number=1<br /> |cfu=10-20<br /> |image=B_bci.jpg}}<br /> <br /> {{Project template<br /> |title=Driving an autonomous wheelchair with a P300-based BCI<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair ([[LURCH - The autonomous wheelchair|LURCH]]) with a [[Brain-Computer Interface|BCI]], through the development of key software modules. The work will be validated with live experiments.<br /> <br /> ;Tools and instruments<br /> :C++, C, [http://www.bci2000.org/ BCI2000], Matlab<br /> :Linux<br /> :EEG system<br /> :Lurch wheelchair<br /> <br /> ;Bibliography<br /> : R. Blatt et al. ''Brain Control of a Smart Wheelchair'' [http://www.booksonline.iospress.com/Content/View.aspx?piid=9401]<br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=LURCH_wheelchair.jpg}}<br /> <br /> {{Project template<br /> |title=Reproduction of an algorithm for the recognition of error potentials<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Error potentials (ErrPs) are [http://en.wikipedia.org/wiki/Event-related_potential event-related potentials] present in the EEG (electroencephalogram) when a subject makes a mistake or when the machine a subject is interacting with works in an expected way. They could be used in the [[Brain-Computer Interface|BCI]] field to improve the performance of a BCI by automatically detecting classification errors.<br /> The project aims at reproducing algorithms for ErrP detection from the literature.<br /> <br /> ;Tools and instruments<br /> :Matlab, [http://www.bci2000.org/ BCI2000]<br /> :EEG system<br /> <br /> ;Bibliography<br /> :P.W. Ferrez, J. Millán. ''You Are Wrong! Automatic Detection of Interaction Errors from Brain Waves'' [ftp://ftp.idiap.ch/pub/reports/2005/ferrez_2005_ijcai.pdf]<br /> :G. Schalk et al. ''EEG-based communication: presence of an error potential'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;issn=13882457&amp;volume=111&amp;issue=12&amp;firstpage=2138&amp;form=html]<br /> |start=This project has already been assigned<br /> |number=1<br /> |cfu=5-15<br /> |image=Bci_arch.png}}<br /> <br /> &lt;!--==== Computer Vision and Image Analysis ====<br /> --&gt;<br /> &lt;!--==== E-Science ====<br /> --&gt;<br /> <br /> ==== Computational Intelligence and Games ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Social Software and Semantic Web]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====<br /> --&gt;<br /> <br /> ==== Machine Learning ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Robotics ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> <br /> {{Project template<br /> |title=Simulation of 6-DOF Robot Manipulator<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a simulator for a 6-DOF robot manipulator, using the [http://www.ode.org/ ode] (open dynamics engine) library for simulating the rigid body dynamics. The project involves three different phases:<br /> * Building the physical model of the manipulator<br /> * Implementing the forward and inverse kinematic routines <br /> * Implementing the trajectory planning routines<br /> * Implementing the control modules<br /> * Implementing an interface to control the robot movements<br /> <br /> This project allows to put into practice what has been explained during the first part of the course of Robotics.<br /> <br /> The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=10-15<br /> |image=puma6dof1.jpg}}<br /> <br /> {{Project template<br /> |title=Calibration of IMU-camera system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:DavideMigliore|Davide Migliore]]<br /> |description=This work is about the problem to calibrate a system composed by an XSense <br /> Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on <br /> the problem to estimate both unknown rotation between the two devices and the <br /> extrinsic/intrinsic parameters of the camera. This algorithm allows to use the <br /> system for SLAM or robotics applications, like a wereable device for autonomous <br /> navigation or augmented reality. <br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> ;Links<br /> :Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]<br /> :List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]<br /> <br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=Imu_cam_big_sphere.gif}}<br /> <br /> {{Project template<br /> |title= Robot games<br /> |tutor= Andrea Bonarini (bonarini-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this activity is to develop an interactive game with robots using commercial devices such as the WII Mote (see the [http://airwiki.elet.polimi.it/mediawiki/index.php/Robogames Robogames page]) <br /> Projects are available in different areas:<br /> * Design and implementation of the game on one of the available robots and extension of the robot functionalities<br /> * Design and implementation of the game and a new suitable robot<br /> * Evaluation of the game with users (in collaboration with [http://www.elet.polimi.it/people/garzotto Franca Garzotto])<br /> <br /> These projects allow to experiment with real mobile robots and real interaction devices.<br /> <br /> Parts of these projects can be considered as course projects. These projects can also be extended to cover course projects.<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=7.5-12.5<br /> |image=Robowii_robot.jpg}}<br /> <br /> &lt;!--==== Affective Computing ====<br /> --&gt;<br /> &lt;!--==== Soft Computing ====<br /> --&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Master_Level_Theses&diff=9165 2009-10-29T18:54:53Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find proposals for master thesis (20 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> <br /> <br /> ==== Evolutionary Optimization and Stochastic Optimization ====<br /> <br /> ==== Agents, Multiagent Systems, Agencies ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Agents, Multiagent Systems, Agencies]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== BioSignal Analysis ====<br /> <br /> ===== Analysis of the Olfactory Signal =====<br /> {{Project template<br /> |title=Computational Intelligence techniques to analyse the olfactory signal acquired by an electronic nose for cancer diagnosis<br /> |tutor=[[User:AndreaBonarini|Andrea Bonarini]] ([mailto:bonarini@elet.polimi.it email]), [[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucci@elet.polimi.it email]), [[User:RossellaBlatt|Rossella Blatt]] ([mailto:blatt@elet.polimi.it email])<br /> |description= The electronic nose is an instrument able to detect and recognize odors, that is the volatile substances in the atmosphere or emitted by the analyzed substance. This device can react to a gas substance by providing signals that can be analyzed to classify the input. It is composed of a sensor array (MOS sensors, in our case) and a pattern classification system based on machine learning techniques. Each sensor reacts in a different way to the analyzed substance, providing multidimensional data that can be considered as a unique olfactory blueprint of the analyzed substance. We have already tested the use of the electronic nose as diagnostic tool for lung cancer; boosted from the very satisfactory results that we have achieved by these analysis, we want to investigate the possibility of diagnosing other types of cancer and to improve the current computation intelligence techniques.<br /> The project is done in collaboration with the Istituto dei Tumori, Milano.<br /> <br /> ;Tools and instruments: Matlab<br /> <br /> ;Bibliography : BLATT R., BONARINI A, CALABRÒ E, DELLA TORRE M, MATTEUCCI M, PASTORINO U. (2008). Pattern Classification Techniques for Early Lung Cancer Diagnosis using an Electronic Nose. In: Frontiers in Artificial Intelligence and Applications. European Conference on Artificial Intelligence - Prestigious Applications of Intetelligent Systems. Patras, Greece. 21-15 luglio 2008. (vol. 178, pp. 693-697). ISBN/ISSN: 978-1-58603-891-5. IOS Press. [[Image:PAIS.pdf|Paper-PAIS2008]]<br /> <br /> |start=Anytime (a new acquisition phase will start in March)<br /> |number=1-2<br /> |cfu=20<br /> |image=Acquisition.jpg}}<br /> <br /> ===== Sleep Staging =====<br /> <br /> {{Project template<br /> |title=Development of a computer-assisted CAP (Sleep cyclic alternating pattern) scoring method<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), Martin Mendez ([mailto:martin.mendez@polimi.it email]), Anna Maria Bianchi ([mailto:annamaria.bianchi@polimi.it email]), Mario Terzano (Ospedale di Parma)<br /> |description=In 1985, Terzano describes for the first time the Cyclic Alternating Pattern [http://en.wikipedia.org/wiki/Cyclical_alternating_pattern] during sleep and, nowadays, CAP is widely accepted by the medical community as basic analysis of sleep. The CAP evaluation is of fundamental importance since it represents the mechanism developed by the brain evolution to monitor the inner and outer world and to assure the survival during sleep. However, visual detection of CAP in polisomnography (i.e., the standard procedure) is a slow and time-consuming process. This limiting factor generates the necessity of new computer-assisted scoring methods for fast CAP evaluation. This thesis deals with the development of a Decision Support System for CAP scoring based on features extraction at multi-system level (by statistical and signal analysis) and Pattern Recognition or Machine Learning approaches. This may allow the automatic detection of CAP sleep and could be integrated, through reinforcement learning techniques, with the corrections given by physicians.<br /> <br /> ;Tools and instruments<br /> :Matlab, C/C++<br /> <br /> ;Bibliography<br /> : Mario Terzano, Liborio Parrino. ''Atlas, rules, and recording techniques for the scoring of cyclic alternating pattern (CAP) in human sleep'', Sleep Medicine 2 (2001) 537–553. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;_udi=B6W6N-44DY2B4-8&amp;_user=2620285&amp;_coverDate=11%2F30%2F2001&amp;_rdoc=1&amp;_fmt=&amp;_orig=search&amp;_sort=d&amp;view=c&amp;_acct=C000058180&amp;_version=1&amp;_urlVersion=0&amp;_userid=2620285&amp;md5=aa61a060d005f23f6afed5c1fc2f1126]<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=20<br /> |image=CAP_Sleep_Staging.jpg}}<br /> <br /> ===== Brain-Computer Interface =====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::BioSignal Analysis]]<br /> [[PrjResTopic::Brain-Computer Interface]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Computer Vision and Image Analysis ====--&gt;<br /> <br /> &lt;!--==== E-Science ====--&gt;<br /> <br /> ==== Machine Learning ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> {{Project template<br /> |title=Reinforcement Learning in Poker<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=In this years, Artificial Intelligence research has shifted its attention from fully observable environments such as Chess to more challenging partially observable ones such as Poker.<br /> <br /> Up to this moment research in this kind of environments, which can be formalized as Partially Observable Stochastic Games, has been more from a game theoretic point of view, thus focusing on the pursue of optimality and equilibrium, with no attention to payoff maximization, which may be more interesting in many real-world contexts.<br /> <br /> On the other hand Reinforcement Learning techniques demonstrated to be successful in solving both fully observable problems, single and multi-agent, and single-agent partially observable ones, while lacking application to the partially observable multi-agent framework.<br /> <br /> This research aims at studying the solution of Partially Observable Stochastic Games, analyzing the possibility to combine the Opponent Modeling concept with the well proven Reinforcement Learning solution techniques to solve problems in this framework, adopting Poker as testbed.<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=20-40<br /> |image=PokerPRLT.png}}<br /> <br /> {{Project template<br /> |title=Automatic generation of domain ontologies<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:AndreaBonarini|Andrea Bonarini]] ([mailto:bonarini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= This thesis to be developed together with [http://www.noustat.it/ Noustat S.r.l.], who are developing research activities directed toward the optimization of knowledge management services, in collaboration with another company operating in this field. This project is aimed at removing the ontology building bottleneck, long and expensive activity that usually requires the direct collaboration of a domain expert. The possibility of automatic building the ontology, starting from a set of textual documents related to a specific domain, is expected to improve the ability to provide the knowledge management service, both by reducing the time-to-application, and by increasing the number of domains that can be covered. For this project, unsupervised learning methods will be applied in sequence, exploiting the topological properties of the ultra-metric spaces that emerge from the taxonomic structure of the concepts present in the texts, and associative methods will extend the concept network to lateral, non-hierarchical relationships.<br /> <br /> |start=before November 30th<br /> |number=1-2<br /> |cfu=20<br /> |image=}}<br /> <br /> ==== Computational Intelligence and Games ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Affective Computing ====--&gt;<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Social Software and Semantic Web]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====--&gt;<br /> <br /> ==== Robotics ====<br /> {{Project template<br /> |title= Robot games<br /> |tutor= Andrea Bonarini (bonarini-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this activity is to develop an interactive game with robots using commercial devices such as the WII Mote (see the [http://airwiki.elet.polimi.it/mediawiki/index.php/Robogames Robogames page]) <br /> Projects are available in different areas:<br /> * Design and implementation of the game on one of the available robots and extension of the robot functionalities<br /> * Design and implementation of the game and a new suitable robot<br /> * Evaluation of the game with users (in collaboration with [http://www.elet.polimi.it/people/garzotto Franca Garzotto])<br /> <br /> These projects allow to experiment with real mobile robots and real interaction devices.<br /> <br /> Parts of these projects can be considered as course projects. These projects can also be extended to cover course projects.<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=7.5-20<br /> |image=Robowii_robot.jpg}}<br /> <br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Soft Computing ====--&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Master_Level_Theses&diff=9164 2009-10-29T18:54:36Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find proposals for master thesis (20 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> <br /> <br /> ==== Evolutionary Optimization and Stochastic Optimization ====<br /> <br /> ==== Agents, Multiagent Systems, Agencies ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Agents, Multiagent Systems, Agencies]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== BioSignal Analysis ====<br /> <br /> ===== Analysis of the Olfactory Signal =====<br /> {{Project template<br /> |title=Computational Intelligence techniques to analyse the olfactory signal acquired by an electronic nose for cancer diagnosis<br /> |tutor=[[User:AndreaBonarini|Andrea Bonarini]] ([mailto:bonarini@elet.polimi.it email]), [[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucci@elet.polimi.it email]), [[User:RossellaBlatt|Rossella Blatt]] ([mailto:blatt@elet.polimi.it email])<br /> |description= The electronic nose is an instrument able to detect and recognize odors, that is the volatile substances in the atmosphere or emitted by the analyzed substance. This device can react to a gas substance by providing signals that can be analyzed to classify the input. It is composed of a sensor array (MOS sensors, in our case) and a pattern classification system based on machine learning techniques. Each sensor reacts in a different way to the analyzed substance, providing multidimensional data that can be considered as a unique olfactory blueprint of the analyzed substance. We have already tested the use of the electronic nose as diagnostic tool for lung cancer; boosted from the very satisfactory results that we have achieved by these analysis, we want to investigate the possibility of diagnosing other types of cancer and to improve the current computation intelligence techniques.<br /> The project is done in collaboration with the Istituto dei Tumori, Milano.<br /> <br /> ;Tools and instruments: Matlab<br /> <br /> ;Bibliography : BLATT R., BONARINI A, CALABRÒ E, DELLA TORRE M, MATTEUCCI M, PASTORINO U. (2008). Pattern Classification Techniques for Early Lung Cancer Diagnosis using an Electronic Nose. In: Frontiers in Artificial Intelligence and Applications. European Conference on Artificial Intelligence - Prestigious Applications of Intetelligent Systems. Patras, Greece. 21-15 luglio 2008. (vol. 178, pp. 693-697). ISBN/ISSN: 978-1-58603-891-5. IOS Press. [[Image:PAIS.pdf|Paper-PAIS2008]]<br /> <br /> |start=Anytime (a new acquisition phase will start in March)<br /> |number=1-2<br /> |cfu=20<br /> |image=Acquisition.jpg}}<br /> <br /> ===== Sleep Staging =====<br /> <br /> {{Project template<br /> |title=Development of a computer-assisted CAP (Sleep cyclic alternating pattern) scoring method<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), Martin Mendez ([mailto:martin.mendez@polimi.it email]), Anna Maria Bianchi ([mailto:annamaria.bianchi@polimi.it email]), Mario Terzano (Ospedale di Parma)<br /> |description=In 1985, Terzano describes for the first time the Cyclic Alternating Pattern [http://en.wikipedia.org/wiki/Cyclical_alternating_pattern] during sleep and, nowadays, CAP is widely accepted by the medical community as basic analysis of sleep. The CAP evaluation is of fundamental importance since it represents the mechanism developed by the brain evolution to monitor the inner and outer world and to assure the survival during sleep. However, visual detection of CAP in polisomnography (i.e., the standard procedure) is a slow and time-consuming process. This limiting factor generates the necessity of new computer-assisted scoring methods for fast CAP evaluation. This thesis deals with the development of a Decision Support System for CAP scoring based on features extraction at multi-system level (by statistical and signal analysis) and Pattern Recognition or Machine Learning approaches. This may allow the automatic detection of CAP sleep and could be integrated, through reinforcement learning techniques, with the corrections given by physicians.<br /> <br /> ;Tools and instruments<br /> :Matlab, C/C++<br /> <br /> ;Bibliography<br /> : Mario Terzano, Liborio Parrino. ''Atlas, rules, and recording techniques for the scoring of cyclic alternating pattern (CAP) in human sleep'', Sleep Medicine 2 (2001) 537–553. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;_udi=B6W6N-44DY2B4-8&amp;_user=2620285&amp;_coverDate=11%2F30%2F2001&amp;_rdoc=1&amp;_fmt=&amp;_orig=search&amp;_sort=d&amp;view=c&amp;_acct=C000058180&amp;_version=1&amp;_urlVersion=0&amp;_userid=2620285&amp;md5=aa61a060d005f23f6afed5c1fc2f1126]<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=20<br /> |image=CAP_Sleep_Staging.jpg}}<br /> <br /> ===== Brain-Computer Interface =====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::BioSignal Analysis]]<br /> [[PrjResTopic::Brain-Computer Interface]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Computer Vision and Image Analysis ====--&gt;<br /> <br /> &lt;!--==== E-Science ====--&gt;<br /> <br /> ==== Machine Learning ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> {{Project template<br /> |title=Reinforcement Learning in Poker<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=In this years, Artificial Intelligence research has shifted its attention from fully observable environments such as Chess to more challenging partially observable ones such as Poker.<br /> <br /> Up to this moment research in this kind of environments, which can be formalized as Partially Observable Stochastic Games, has been more from a game theoretic point of view, thus focusing on the pursue of optimality and equilibrium, with no attention to payoff maximization, which may be more interesting in many real-world contexts.<br /> <br /> On the other hand Reinforcement Learning techniques demonstrated to be successful in solving both fully observable problems, single and multi-agent, and single-agent partially observable ones, while lacking application to the partially observable multi-agent framework.<br /> <br /> This research aims at studying the solution of Partially Observable Stochastic Games, analyzing the possibility to combine the Opponent Modeling concept with the well proven Reinforcement Learning solution techniques to solve problems in this framework, adopting Poker as testbed.<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=20-40<br /> |image=PokerPRLT.png}}<br /> <br /> {{Project template<br /> |title=Automatic generation of domain ontologies<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:AndreaBonarini|Andrea Bonarini]] ([mailto:bonarini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= This thesis to be developed together with [http://www.noustat.it/ Noustat S.r.l.], who are developing research activities directed toward the optimization of knowledge management services, in collaboration with another company operating in this field. This project is aimed at removing the ontology building bottleneck, long and expensive activity that usually requires the direct collaboration of a domain expert. The possibility of automatic building the ontology, starting from a set of textual documents related to a specific domain, is expected to improve the ability to provide the knowledge management service, both by reducing the time-to-application, and by increasing the number of domains that can be covered. For this project, unsupervised learning methods will be applied in sequence, exploiting the topological properties of the ultra-metric spaces that emerge from the taxonomic structure of the concepts present in the texts, and associative methods will extend the concept network to lateral, non-hierarchical relationships.<br /> <br /> |start=before November 30th<br /> |number=1-2<br /> |cfu=20<br /> |image=}}<br /> <br /> ==== Computational Intelligence and Games ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Affective Computing ====--&gt;<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Social Software and Semantic Web]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====--&gt;<br /> <br /> ==== Robotics ====<br /> {{Project template<br /> |title= Robot games<br /> |tutor= Andrea Bonarini (bonarini-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this activity is to develop an interactive game with robots using commercial devices such as the WII Mote (see the [http://airwiki.elet.polimi.it/mediawiki/index.php/Robogames Robogames page]) <br /> Projects are available in different areas:<br /> * Design and implementation of the game on one of the available robots and extension of the robot functionalities<br /> * Design and implementation of the game and a new suitable robot<br /> * Evaluation of the game with users (in collaboration with [http://www.elet.polimi.it/people/garzotto Franca Garzotto])<br /> <br /> These projects allow to experiment with real mobile robots and real interaction devices.<br /> <br /> Parts of these projects can be considered as course projects. These projects can also be extended to cover course projects.<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=7.5-20<br /> |image=Robowii_robot.jpg}}<br /> <br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Soft Computing ====--&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Data_Mining_in_Computer_Games&diff=9163 2009-10-29T18:53:59Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Data Mining in Computer Games<br /> |image=QLive.png<br /> |description=Today a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players.<br /> Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live.<br /> Please contact us for additional information.<br /> ;References<br /> * TORCS (http://torcs.sourceforge.net/)<br /> *QuakeLive (http://www.quakelive.com)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games; <br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Master_Level_Course_Projects&diff=9162 2009-10-29T18:53:42Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find a list of project proposals for the courses of &quot;Laboratorio di Intelligenza Artificiale e Robotica&quot; (5 CFU for each student) and &quot;Soft Computing&quot; (1 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> <br /> <br /> <br /> <br /> ==== BioSignal Analysis ====<br /> <br /> {{Project template<br /> |title=Human-computer interaction via voice recognition system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=We want develop a system to allow a voice interaction between the user and the wheelchair.<br /> This project consists in develop one of the solutions proposed in literature and extended the LURCH software to include this kind of interface. <br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> <br /> References:<br /> * Phinx project [http://cmusphinx.org/]<br /> <br /> |start= Anytime<br /> |number=1-2<br /> |cfu=2.5-10<br /> |image=LURCH_wheelchair.jpg<br /> }}<br /> <br /> ===== Brain-Computer Interface =====<br /> <br /> {{Project template<br /> |title=Driving an autonomous wheelchair with a P300-based BCI<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair ([[LURCH - The autonomous wheelchair|LURCH]]) with a [[Brain-Computer Interface|BCI]], through the development of key software modules. Depending on the effort the student is willing to put into it, the project can grow to a full experimental thesis.<br /> <br /> ;Tools and instruments<br /> :C++, C, [http://www.bci2000.org/ BCI2000]<br /> :Linux<br /> <br /> ;Bibliography<br /> : R. Blatt et al. ''Brain Control of a Smart Wheelchair'' [http://www.booksonline.iospress.com/Content/View.aspx?piid=9401]<br /> |start=November 2008<br /> |number=1<br /> |cfu=5-20<br /> |image=LURCH_wheelchair.jpg}}<br /> <br /> {{Project template<br /> |title=Reproduction of an algorithm for the recognition of error potentials<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Error potentials (ErrPs) are [http://en.wikipedia.org/wiki/Event-related_potential event-related potentials] present in the EEG (electroencephalogram) when a subject makes a mistake or when the machine a subject is interacting with works in an expected way. They could be used in the [[Brain-Computer Interface|BCI]] field to improve the performance of a BCI by automatically detecting classification errors.<br /> The project aims at reproducing algorithms for ErrP detection from the literature.<br /> <br /> ;Tools and instruments<br /> :Matlab<br /> <br /> ;Bibliography<br /> :P.W. Ferrez, J. Millán. ''You Are Wrong! Automatic Detection of Interaction Errors from Brain Waves'' [ftp://ftp.idiap.ch/pub/reports/2005/ferrez_2005_ijcai.pdf]<br /> :G. Schalk et al. ''EEG-based communication: presence of an error potential'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;issn=13882457&amp;volume=111&amp;issue=12&amp;firstpage=2138&amp;form=html]<br /> |start=This project has already been assigned<br /> |number=1<br /> |cfu=5-15<br /> |image=Bci_arch.png}}<br /> <br /> ==== Computer Vision and Image Analysis ====<br /> <br /> {{Project template<br /> |title=Environment Monitoring<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this project is to develop a video surveillance system to track in 3D vehicles or people. <br /> The idea is to use one or more calibrated camera to estimate the position and the trajectories of the moving objects in the scene. <br /> The skills required for this project are:<br /> * C/C++ and OpenCV library<br /> * Linux o.s.<br /> * Geometry/Image processing<br /> * Probabilistic robotics/IMAD<br /> <br /> The project can be turned into a thesis extending the algorithm for a generic outdoor environment.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=10-15<br /> |image=Danch4.png <br /> }}<br /> <br /> {{Project template<br /> |title=Visual Merchandising<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this project is to develop algorithms to count the number of products on the shelves of a market.<br /> The idea is to use a calibrated camera to recognize the shelves, estimate the scale and improve the image quality. <br /> The skills required for this project are:<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> |start= As soon as possible<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=VisualM.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Analysis of patch recognition algorithms<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Extract distinctive features from images is very important in computer vision application.<br /> It can be used in algorithms for tasks like matching different views of an object or scene (e.g. for stereo vision) and object recognition.<br /> The aim of this work is to integrate in an existent framework the existing solution proposed in literature.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> References:<br /> *Oxford website [http://www.robots.ox.ac.uk/~vgg/research/affine/index.html]<br /> *Hess website [http://web.engr.oregonstate.edu/~hess/index.html]<br /> *Feature FAST [http://mi.eng.cam.ac.uk/~er258/work/fast.html]<br /> <br /> |start= Anytime<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Object.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Catadioptric MonoSLAM <br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this work is to investigate a SLAM solutions based on catadioptric camera, integrating the solution presented in literature into an existing frameword.<br /> Improvements could be the basis for a tesi.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> References:<br /> *Visual SLAM by Single Catadioptric Stereo [http://cv2.kaist.ac.kr/VisualSLAMBySingleCameraCatadioptricStereo.pdf]<br /> *Catadioptric reconstruction [http://citeseer.ist.psu.edu/cache/papers/cs/23657/http:zSzzSzwww.cis.upenn.eduzSz~cgeyerzSzsfm_tr.pdf/geyer01structure.pdf]<br /> <br /> |start= Anytime<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Photo.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Trinocular Vision System (SUGR)<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=A Trinocular Vision System is a device composed by three cameras that allows to measure 3D data (in this case segments) directly from images.<br /> The aim of this tesina/project is to implement a trinocular algorithm based on SUGR, a library for Uncertain Projective Geometry.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> |start= As soon as possible<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Trinoex.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=GIFT and features extraction and description<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The idea is to improve and optimize the solution proposed by Campari et al. in their paper, who propose to estimate invariant descriptor using geodesic features descriptor based on color information.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> |start= Anytime<br /> |number=1-3<br /> |cfu=10-20<br /> |image=Palla_GIFT.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Multimedia Indexing Framework<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this project is to develop a framework for multimedia indexing.<br /> The idea is create an images database indexer that allows to make query using images or strings.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> <br /> References:<br /> *CBIR system definition [http://en.wikipedia.org/wiki/CBIR]<br /> *Image database [http://www.cs.washington.edu/research/imagedatabase/]<br /> <br /> |start= Anytime<br /> |number=1-3<br /> |cfu=2.5-15<br /> |image=CIR.gif<br /> }}<br /> <br /> <br /> {{Project template<br /> |title=humanoid vision<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Our goal is to develop vision capabilities for a humanoiud robot. In particular:<br /> * NEURAL-BASED VISION SYSTEM - In this project we experiment different models of the neural structure of the visual cortex. In particular we collect couples of images with different fixation point and we reconstruct disparity, depth, shape recognition. A stereo disparity map is already available.<br /> * RECOGNITION OF HAND MOTIONS - Develop a system able to recognize the hand gestures from images of people. Use this for robot interfacing.<br /> * SEMANTIC MODELLING OF ACTIONS - Construct a semantic representation of actions to be matched against the data obtained from video/movements analysis.<br /> <br /> <br /> |start= Anytime<br /> |number=1-3<br /> |cfu=2.5-15<br /> |image=vision.jpg<br /> }}<br /> <br /> ==== E-Science ====<br /> {{Project template<br /> |title=Knowledge discovery in life sciences<br /> |tutor=[[User:Gini Giuseppina|Gini Giuseppina]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of those projects is to develop methods and applications in the broad area of life sciences applications. Basic knowledge of chemistry and biology is useful.<br /> * DATA MINING FOR RULE INDUCTION - The project is about analysing large data sets to discover correlations between substructures and properties. CDK and WEKA are possible software to use.<br /> * IReNNS: LEARNING FROM STRUCTURES - This project will develop IReNNS, a recurrent neural net package, and develop new applications.<br /> * REC analysis in WEKA - The project is about theory and the implementation in Java of REC diagrams. A Matlab tool is available at http://www.cs.rpi.edu/~bij2/rec.html.<br /> * HOW TO TEACH SCIENCE - Propose a web site to teach University students a scientific topic using active participation and virtual experimentation.<br /> * CAUSAL REASONING - In this project we will develop the theory of causality proposed by Pearl and apply it to examples in biological sciences.<br /> Other topics coming soon.<br /> <br /> |start= Anytime<br /> |number=2-3<br /> |cfu=5-20<br /> |image=life.jpg<br /> }}<br /> <br /> <br /> ==== Machine Learning ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> {{Project template<br /> |title=Reinforcement Learning Competition<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=This project has the goal of participating to (and possibly winning ;)) the 2009 Reinforcement Learning competition. To have an idea of what participate to such a competition means you can have a look at the website of the [http://rl-competition.org/content/view/51/79/ 2008 RL competition].<br /> The problems that will be proposed are still unknown. As soon as the domains will be published, the work will start by analyzing their main characteristics and, then we will identify which RL algorithms are most suited for solving such problems. After an implementation phase, the project will required a long experimental period to tune the parameters of the learning algorithms in order to improve the performance as much as possible.<br /> |start=January, 2009<br /> |number=2-4<br /> |cfu=10-20<br /> |image=keepaway.gif}}<br /> <br /> ==== Computational Intelligence and Games ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]]<br /> [[PrjResArea::Social Software and Semantic Web]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====<br /> --&gt;<br /> <br /> ==== Robotics ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> {{Project template<br /> |title=Calibration of IMU-camera system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=This work is about the problem to calibrate a system composed by an XSense <br /> Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on <br /> the problem to estimate both unknown rotation between the two devices and the <br /> extrinsic/intrinsic parameters of the camera. This algorithm allows to use the <br /> system for SLAM or robotics applications, like a wereable device for autonomous <br /> navigation or augmented reality. <br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> ;Links<br /> :Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]<br /> :List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]<br /> <br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=Imu_cam_big_sphere.gif}}<br /> <br /> {{Project template<br /> |title=MonoSLAM system implementation<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The aim of this proposal is to investigate the different monocamera SLAM solution proposed in literature.<br /> After a deepen bibliography research, the work will be focused on developing one of these algorithms into an existing framework and, only for tesi option, investigate possible improvements. <br /> <br /> The algorithms interested are based on [http://www-personal.acfr.usyd.edu.au/tbailey/software/slam_simulations.htm]:<br /> *Extended Kalman Filter [http://www.doc.ic.ac.uk/~ajd/publications.html]<br /> *Unscented Kalman Filter [http://www.cs.unc.edu/~welch/kalman/media/pdf/Julier1997_SPIE_KF.pdf]<br /> *FastSLAM [http://robots.stanford.edu/papers.html]<br /> *GraphSLAM [http://mi.eng.cam.ac.uk/~ee231/]<br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> |start=Anytime<br /> |number=1-2<br /> |cfu=5-20<br /> |image=KC_jc_third.jpg}}<br /> <br /> <br /> {{Project template<br /> |title=Humanoid robotics<br /> |tutor=Giuseppina Gini(gini-AT-elet-DOT-polimi-DOT-it)<br /> |description=this project is about developing various functions of humanoids, in particular related to sensing and cognition for manipulation. Possible specific projects are:<br /> * BIOINSPIRED ROBOT HEAD FOR VISION - design and build a robot head able to host 2 cameras with 2dof of freedom each to create a human-like vision system. The movements can be obtained using 4 McKibben actuators for each camera, or electric actuators.<br /> * NEW HARDWARE FOR MAXIMUMOne - the humanoid robot is moved by more than 20 actuators and needs input from all of them. The new architecture FPGA based will move the arm and the head.<br /> * SIMULATOR OF HUMANOID ROBOT - complete the simulator of MaximumOne with all the dof. The simulator will use the same Matlab algorithms of the controller.<br /> * INTEGRATING MANIPULATION AND VISION ON MAXIMUMOne - develop a natural vision system that uses the neck and the eyes movements to follow objects and to concentrate on grasping targets. The integration can be done in matlab/Simulink and integrated in the MaximumOne model.<br /> * MANIPULATION ONTOLOGIES - develop an ontology approach to find the right way to grasp an object , considering both the object and the hand characteristics.<br /> * PATH PLANNING AND COLLISION AVOIDANCE IN OOPS - Randomized path planning is a strategy to produce paths for complex devices. An open source project (OOPS) is available; the project is about integrating path planning with a robot simulator. <br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=4-6<br /> |cfu=5-20<br /> |image=maximum.jpg}}<br /> <br /> <br /> {{Project template<br /> |title=Legged locomotion<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= The proposed projects in the area of walking robots will improve the performances of on-going systems.<br /> * KINEMATIC/DYNAMIC MODEL OF WARUGADAR - develop a complete kinematic analysis of a quadruped robot, useful for planning the foot position on uneven terrains. The dynamic model will be useful for learning different gaits.<br /> * GAIT GENERATION AND CONTROL FOR WARUGADAR - Study Central Pattern Generation, develop a CPG implementation in Matlab or Python. Adapt the method to a quadruped robot (Warugadar).<br /> * ROBO FISH - Continue the development of hardware and software for the robotic fish Zoidberg2, and study a fish colony.<br /> * EMBOT WALKING - complete the robot with 4 wheels used as feet. Control it and experiment.<br /> * ROBOTIC EXPERIMENTS WITH BIOLOID - using Bioloid experiments hw and gaits, develop software for the humanoid challenges at ICRA2010.<br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=2-5<br /> |cfu=5-20<br /> |image=leg.jpg}}<br /> <br /> {{Project template<br /> |title=Robotic prosthesis<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= The proposed projects in the development of an active hand prosthesis, novel in architecture since it considers anso the wrist. THe user interface is based on EMG signals.<br /> * ADVANCED EMG ANALYSIS - To develop prosthesis and therapeutic tools we need to analyze EMG signals according to position, velocity, force. Starting from signal acquisition develop in Matlab a model for force and velocity control.<br /> * HAND PROSTHESIS DESIGN - Define a virtual model of the hand prosthesis (actuation and sensors) and develop a controller based on multi-class classification of electro-myographic signals.<br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=5-20<br /> |image=hand.jpg}}<br /> <br /> &lt;!--==== Soft Computing ====--&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Data_Mining_in_Computer_Games&diff=9161 2009-10-29T18:51:39Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Data Mining in Computer Games<br /> |image=QLive.png<br /> |description=oday a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players.<br /> Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live.<br /> Please contact us for additional information.<br /> ;References<br /> * TORCS (http://torcs.sourceforge.net/)<br /> *QuakeLive (http://www.quakelive.com)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games; <br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Human-Like_AI_in_Games&diff=9160 2009-10-29T18:50:49Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Human-Like AI in Games<br /> |image=UT2004.png<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *Drivatar in Forza Motorsport (http://research.microsoft.com/en-us/projects/drivatar/default.aspx) <br /> *TORCS (http://torcs.sourceforge.net/ TORCS)<br /> *Botprize (http://botprize.org/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games;<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Data_Mining_in_Computer_Games&diff=9159 2009-10-29T18:50:34Z

<p>DanieleLoiacono: New page: {{ProjectProposal |title=Data Mining in Computer Games |image=QLive.png |description=oday a lot of data can be extracted from popular games. The analysis of such data allow to discover a l...</p> <hr /> <div>{{ProjectProposal<br /> |title=Data Mining in Computer Games<br /> |image=QLive.png<br /> |description=oday a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players.<br /> Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live.<br /> Please contact us for additional information.<br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games; <br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Active<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Master_Level_Course_Projects&diff=9158 2009-10-29T18:47:39Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find a list of project proposals for the courses of &quot;Laboratorio di Intelligenza Artificiale e Robotica&quot; (5 CFU for each student) and &quot;Soft Computing&quot; (1 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> <br /> <br /> <br /> <br /> ==== BioSignal Analysis ====<br /> <br /> {{Project template<br /> |title=Human-computer interaction via voice recognition system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=We want develop a system to allow a voice interaction between the user and the wheelchair.<br /> This project consists in develop one of the solutions proposed in literature and extended the LURCH software to include this kind of interface. <br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> <br /> References:<br /> * Phinx project [http://cmusphinx.org/]<br /> <br /> |start= Anytime<br /> |number=1-2<br /> |cfu=2.5-10<br /> |image=LURCH_wheelchair.jpg<br /> }}<br /> <br /> ===== Brain-Computer Interface =====<br /> <br /> {{Project template<br /> |title=Driving an autonomous wheelchair with a P300-based BCI<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair ([[LURCH - The autonomous wheelchair|LURCH]]) with a [[Brain-Computer Interface|BCI]], through the development of key software modules. Depending on the effort the student is willing to put into it, the project can grow to a full experimental thesis.<br /> <br /> ;Tools and instruments<br /> :C++, C, [http://www.bci2000.org/ BCI2000]<br /> :Linux<br /> <br /> ;Bibliography<br /> : R. Blatt et al. ''Brain Control of a Smart Wheelchair'' [http://www.booksonline.iospress.com/Content/View.aspx?piid=9401]<br /> |start=November 2008<br /> |number=1<br /> |cfu=5-20<br /> |image=LURCH_wheelchair.jpg}}<br /> <br /> {{Project template<br /> |title=Reproduction of an algorithm for the recognition of error potentials<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Error potentials (ErrPs) are [http://en.wikipedia.org/wiki/Event-related_potential event-related potentials] present in the EEG (electroencephalogram) when a subject makes a mistake or when the machine a subject is interacting with works in an expected way. They could be used in the [[Brain-Computer Interface|BCI]] field to improve the performance of a BCI by automatically detecting classification errors.<br /> The project aims at reproducing algorithms for ErrP detection from the literature.<br /> <br /> ;Tools and instruments<br /> :Matlab<br /> <br /> ;Bibliography<br /> :P.W. Ferrez, J. Millán. ''You Are Wrong! Automatic Detection of Interaction Errors from Brain Waves'' [ftp://ftp.idiap.ch/pub/reports/2005/ferrez_2005_ijcai.pdf]<br /> :G. Schalk et al. ''EEG-based communication: presence of an error potential'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;issn=13882457&amp;volume=111&amp;issue=12&amp;firstpage=2138&amp;form=html]<br /> |start=This project has already been assigned<br /> |number=1<br /> |cfu=5-15<br /> |image=Bci_arch.png}}<br /> <br /> ==== Computer Vision and Image Analysis ====<br /> <br /> {{Project template<br /> |title=Environment Monitoring<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this project is to develop a video surveillance system to track in 3D vehicles or people. <br /> The idea is to use one or more calibrated camera to estimate the position and the trajectories of the moving objects in the scene. <br /> The skills required for this project are:<br /> * C/C++ and OpenCV library<br /> * Linux o.s.<br /> * Geometry/Image processing<br /> * Probabilistic robotics/IMAD<br /> <br /> The project can be turned into a thesis extending the algorithm for a generic outdoor environment.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=10-15<br /> |image=Danch4.png <br /> }}<br /> <br /> {{Project template<br /> |title=Visual Merchandising<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this project is to develop algorithms to count the number of products on the shelves of a market.<br /> The idea is to use a calibrated camera to recognize the shelves, estimate the scale and improve the image quality. <br /> The skills required for this project are:<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> |start= As soon as possible<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=VisualM.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Analysis of patch recognition algorithms<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Extract distinctive features from images is very important in computer vision application.<br /> It can be used in algorithms for tasks like matching different views of an object or scene (e.g. for stereo vision) and object recognition.<br /> The aim of this work is to integrate in an existent framework the existing solution proposed in literature.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> References:<br /> *Oxford website [http://www.robots.ox.ac.uk/~vgg/research/affine/index.html]<br /> *Hess website [http://web.engr.oregonstate.edu/~hess/index.html]<br /> *Feature FAST [http://mi.eng.cam.ac.uk/~er258/work/fast.html]<br /> <br /> |start= Anytime<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Object.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Catadioptric MonoSLAM <br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this work is to investigate a SLAM solutions based on catadioptric camera, integrating the solution presented in literature into an existing frameword.<br /> Improvements could be the basis for a tesi.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> References:<br /> *Visual SLAM by Single Catadioptric Stereo [http://cv2.kaist.ac.kr/VisualSLAMBySingleCameraCatadioptricStereo.pdf]<br /> *Catadioptric reconstruction [http://citeseer.ist.psu.edu/cache/papers/cs/23657/http:zSzzSzwww.cis.upenn.eduzSz~cgeyerzSzsfm_tr.pdf/geyer01structure.pdf]<br /> <br /> |start= Anytime<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Photo.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Trinocular Vision System (SUGR)<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=A Trinocular Vision System is a device composed by three cameras that allows to measure 3D data (in this case segments) directly from images.<br /> The aim of this tesina/project is to implement a trinocular algorithm based on SUGR, a library for Uncertain Projective Geometry.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> |start= As soon as possible<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Trinoex.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=GIFT and features extraction and description<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The idea is to improve and optimize the solution proposed by Campari et al. in their paper, who propose to estimate invariant descriptor using geodesic features descriptor based on color information.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> * Geometry/Image processing<br /> <br /> |start= Anytime<br /> |number=1-3<br /> |cfu=10-20<br /> |image=Palla_GIFT.jpg<br /> }}<br /> <br /> {{Project template<br /> |title=Multimedia Indexing Framework<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of this project is to develop a framework for multimedia indexing.<br /> The idea is create an images database indexer that allows to make query using images or strings.<br /> <br /> Skills<br /> * C/C++ and OpenCV library <br /> * Matlab (optionally) <br /> * Linux<br /> <br /> References:<br /> *CBIR system definition [http://en.wikipedia.org/wiki/CBIR]<br /> *Image database [http://www.cs.washington.edu/research/imagedatabase/]<br /> <br /> |start= Anytime<br /> |number=1-3<br /> |cfu=2.5-15<br /> |image=CIR.gif<br /> }}<br /> <br /> <br /> {{Project template<br /> |title=humanoid vision<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Our goal is to develop vision capabilities for a humanoiud robot. In particular:<br /> * NEURAL-BASED VISION SYSTEM - In this project we experiment different models of the neural structure of the visual cortex. In particular we collect couples of images with different fixation point and we reconstruct disparity, depth, shape recognition. A stereo disparity map is already available.<br /> * RECOGNITION OF HAND MOTIONS - Develop a system able to recognize the hand gestures from images of people. Use this for robot interfacing.<br /> * SEMANTIC MODELLING OF ACTIONS - Construct a semantic representation of actions to be matched against the data obtained from video/movements analysis.<br /> <br /> <br /> |start= Anytime<br /> |number=1-3<br /> |cfu=2.5-15<br /> |image=vision.jpg<br /> }}<br /> <br /> ==== E-Science ====<br /> {{Project template<br /> |title=Knowledge discovery in life sciences<br /> |tutor=[[User:Gini Giuseppina|Gini Giuseppina]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The goal of those projects is to develop methods and applications in the broad area of life sciences applications. Basic knowledge of chemistry and biology is useful.<br /> * DATA MINING FOR RULE INDUCTION - The project is about analysing large data sets to discover correlations between substructures and properties. CDK and WEKA are possible software to use.<br /> * IReNNS: LEARNING FROM STRUCTURES - This project will develop IReNNS, a recurrent neural net package, and develop new applications.<br /> * REC analysis in WEKA - The project is about theory and the implementation in Java of REC diagrams. A Matlab tool is available at http://www.cs.rpi.edu/~bij2/rec.html.<br /> * HOW TO TEACH SCIENCE - Propose a web site to teach University students a scientific topic using active participation and virtual experimentation.<br /> * CAUSAL REASONING - In this project we will develop the theory of causality proposed by Pearl and apply it to examples in biological sciences.<br /> Other topics coming soon.<br /> <br /> |start= Anytime<br /> |number=2-3<br /> |cfu=5-20<br /> |image=life.jpg<br /> }}<br /> <br /> <br /> ==== Machine Learning ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> {{Project template<br /> |title=Reinforcement Learning Competition<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=This project has the goal of participating to (and possibly winning ;)) the 2009 Reinforcement Learning competition. To have an idea of what participate to such a competition means you can have a look at the website of the [http://rl-competition.org/content/view/51/79/ 2008 RL competition].<br /> The problems that will be proposed are still unknown. As soon as the domains will be published, the work will start by analyzing their main characteristics and, then we will identify which RL algorithms are most suited for solving such problems. After an implementation phase, the project will required a long experimental period to tune the parameters of the learning algorithms in order to improve the performance as much as possible.<br /> |start=January, 2009<br /> |number=2-4<br /> |cfu=10-20<br /> |image=keepaway.gif}}<br /> <br /> ==== Computational Intelligence and Games ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> {{Project template<br /> |title= AI in Racing Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=[http://torcs.sourceforge.net/ TORCS] is a state-of-the-art open source racing simulator that represents an ideal bechmark for machine learning techniques. At the same time, Machine Learning techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> ;References<br /> *[http://gar.eecs.ucf.edu/ Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=TORCS2.jpg}}<br /> <br /> {{Project template<br /> |title= Automatic Content Generation in Computer Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from [http://gar.eecs.ucf.edu/]<br /> ;references<br /> *[http://gar.eecs.ucf.edu/ Galactic Arm Race]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://julian.togelius.com/Togelius2007Towards.pdf J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=gar.jpg}}<br /> <br /> {{Project template<br /> |title= Human-Like AI in Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *[http://research.microsoft.com/en-us/projects/drivatar/default.aspx Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://botprize.org/ Botprize]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=UT2004.png}}<br /> <br /> {{Project template<br /> |title= Data Mining in Computer Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=Today a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players.<br /> Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live.<br /> Please contact us for additional information.<br /> ;References<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://www.quakelive.com Quake Live]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=QLive.png}}<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]]<br /> [[PrjResArea::Social Software and Semantic Web]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====<br /> --&gt;<br /> <br /> ==== Robotics ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Ms]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> {{Project template<br /> |title=Calibration of IMU-camera system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=This work is about the problem to calibrate a system composed by an XSense <br /> Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on <br /> the problem to estimate both unknown rotation between the two devices and the <br /> extrinsic/intrinsic parameters of the camera. This algorithm allows to use the <br /> system for SLAM or robotics applications, like a wereable device for autonomous <br /> navigation or augmented reality. <br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> ;Links<br /> :Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]<br /> :List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]<br /> <br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=Imu_cam_big_sphere.gif}}<br /> <br /> {{Project template<br /> |title=MonoSLAM system implementation<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:DavideMigliore|Davide Migliore]] ([mailto:migliore%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=The aim of this proposal is to investigate the different monocamera SLAM solution proposed in literature.<br /> After a deepen bibliography research, the work will be focused on developing one of these algorithms into an existing framework and, only for tesi option, investigate possible improvements. <br /> <br /> The algorithms interested are based on [http://www-personal.acfr.usyd.edu.au/tbailey/software/slam_simulations.htm]:<br /> *Extended Kalman Filter [http://www.doc.ic.ac.uk/~ajd/publications.html]<br /> *Unscented Kalman Filter [http://www.cs.unc.edu/~welch/kalman/media/pdf/Julier1997_SPIE_KF.pdf]<br /> *FastSLAM [http://robots.stanford.edu/papers.html]<br /> *GraphSLAM [http://mi.eng.cam.ac.uk/~ee231/]<br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> |start=Anytime<br /> |number=1-2<br /> |cfu=5-20<br /> |image=KC_jc_third.jpg}}<br /> <br /> <br /> {{Project template<br /> |title=Humanoid robotics<br /> |tutor=Giuseppina Gini(gini-AT-elet-DOT-polimi-DOT-it)<br /> |description=this project is about developing various functions of humanoids, in particular related to sensing and cognition for manipulation. Possible specific projects are:<br /> * BIOINSPIRED ROBOT HEAD FOR VISION - design and build a robot head able to host 2 cameras with 2dof of freedom each to create a human-like vision system. The movements can be obtained using 4 McKibben actuators for each camera, or electric actuators.<br /> * NEW HARDWARE FOR MAXIMUMOne - the humanoid robot is moved by more than 20 actuators and needs input from all of them. The new architecture FPGA based will move the arm and the head.<br /> * SIMULATOR OF HUMANOID ROBOT - complete the simulator of MaximumOne with all the dof. The simulator will use the same Matlab algorithms of the controller.<br /> * INTEGRATING MANIPULATION AND VISION ON MAXIMUMOne - develop a natural vision system that uses the neck and the eyes movements to follow objects and to concentrate on grasping targets. The integration can be done in matlab/Simulink and integrated in the MaximumOne model.<br /> * MANIPULATION ONTOLOGIES - develop an ontology approach to find the right way to grasp an object , considering both the object and the hand characteristics.<br /> * PATH PLANNING AND COLLISION AVOIDANCE IN OOPS - Randomized path planning is a strategy to produce paths for complex devices. An open source project (OOPS) is available; the project is about integrating path planning with a robot simulator. <br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=4-6<br /> |cfu=5-20<br /> |image=maximum.jpg}}<br /> <br /> <br /> {{Project template<br /> |title=Legged locomotion<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= The proposed projects in the area of walking robots will improve the performances of on-going systems.<br /> * KINEMATIC/DYNAMIC MODEL OF WARUGADAR - develop a complete kinematic analysis of a quadruped robot, useful for planning the foot position on uneven terrains. The dynamic model will be useful for learning different gaits.<br /> * GAIT GENERATION AND CONTROL FOR WARUGADAR - Study Central Pattern Generation, develop a CPG implementation in Matlab or Python. Adapt the method to a quadruped robot (Warugadar).<br /> * ROBO FISH - Continue the development of hardware and software for the robotic fish Zoidberg2, and study a fish colony.<br /> * EMBOT WALKING - complete the robot with 4 wheels used as feet. Control it and experiment.<br /> * ROBOTIC EXPERIMENTS WITH BIOLOID - using Bioloid experiments hw and gaits, develop software for the humanoid challenges at ICRA2010.<br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=2-5<br /> |cfu=5-20<br /> |image=leg.jpg}}<br /> <br /> {{Project template<br /> |title=Robotic prosthesis<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= The proposed projects in the development of an active hand prosthesis, novel in architecture since it considers anso the wrist. THe user interface is based on EMG signals.<br /> * ADVANCED EMG ANALYSIS - To develop prosthesis and therapeutic tools we need to analyze EMG signals according to position, velocity, force. Starting from signal acquisition develop in Matlab a model for force and velocity control.<br /> * HAND PROSTHESIS DESIGN - Define a virtual model of the hand prosthesis (actuation and sensors) and develop a controller based on multi-class classification of electro-myographic signals.<br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=5-20<br /> |image=hand.jpg}}<br /> <br /> &lt;!--==== Soft Computing ====--&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Automatic_Content_Generation_in_Computer_Games&diff=9157 2009-10-29T18:46:16Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Automatic Content Generation in Computer Games <br /> |image=gar.jpg<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picture taken from http://gar.eecs.ucf.edu/<br /> ;References<br /> *Galactic Arm Race (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono<br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=First_Level_Theses&diff=9156 2009-10-29T18:45:46Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find proposals for first level thesis (7.5 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Agents, Multiagent Systems, Agencies ====<br /> --&gt;<br /> ==== BioSignal Analysis ====<br /> ===== Brain-Computer Interface =====<br /> <br /> {{Project template<br /> |title=Real-time removal of ocular artifact from EEG<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=In a [[Brain-Computer Interface|BCI]] based on electroencephalogram (EEG), one of the most important sources of noise is related to ocular movements. Algorithms have been devised to cancel the effect of such artifacts. The project consists in the in the implementation in real time of an existing algorithm (or one newly developed) in order to improve the performance of a BCI.<br /> <br /> ;Tools and instruments<br /> :Matlab, [http://www.bci2000.org/ BCI2000], C++<br /> :EEG system<br /> <br /> ;Bibliography<br /> : J.R. Wolpaw et al. ''Brain-computer interfaces for communication and control'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;journal=13882457&amp;issue=v113i0006&amp;article=767_bifcac&amp;form=pdf&amp;file=file.pdf]<br /> : R.J. Croff, R.J. Barry. ''Removal of ocular artifact from the EEG: a review'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;issn=09877053&amp;volume=30&amp;issue=1&amp;firstpage=5&amp;form=html]<br /> |number=1<br /> |cfu=10-20<br /> |image=B_bci.jpg}}<br /> <br /> {{Project template<br /> |title=Driving an autonomous wheelchair with a P300-based BCI<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair ([[LURCH - The autonomous wheelchair|LURCH]]) with a [[Brain-Computer Interface|BCI]], through the development of key software modules. The work will be validated with live experiments.<br /> <br /> ;Tools and instruments<br /> :C++, C, [http://www.bci2000.org/ BCI2000], Matlab<br /> :Linux<br /> :EEG system<br /> :Lurch wheelchair<br /> <br /> ;Bibliography<br /> : R. Blatt et al. ''Brain Control of a Smart Wheelchair'' [http://www.booksonline.iospress.com/Content/View.aspx?piid=9401]<br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=LURCH_wheelchair.jpg}}<br /> <br /> {{Project template<br /> |title=Reproduction of an algorithm for the recognition of error potentials<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description=Error potentials (ErrPs) are [http://en.wikipedia.org/wiki/Event-related_potential event-related potentials] present in the EEG (electroencephalogram) when a subject makes a mistake or when the machine a subject is interacting with works in an expected way. They could be used in the [[Brain-Computer Interface|BCI]] field to improve the performance of a BCI by automatically detecting classification errors.<br /> The project aims at reproducing algorithms for ErrP detection from the literature.<br /> <br /> ;Tools and instruments<br /> :Matlab, [http://www.bci2000.org/ BCI2000]<br /> :EEG system<br /> <br /> ;Bibliography<br /> :P.W. Ferrez, J. Millán. ''You Are Wrong! Automatic Detection of Interaction Errors from Brain Waves'' [ftp://ftp.idiap.ch/pub/reports/2005/ferrez_2005_ijcai.pdf]<br /> :G. Schalk et al. ''EEG-based communication: presence of an error potential'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&amp;issn=13882457&amp;volume=111&amp;issue=12&amp;firstpage=2138&amp;form=html]<br /> |start=This project has already been assigned<br /> |number=1<br /> |cfu=5-15<br /> |image=Bci_arch.png}}<br /> <br /> &lt;!--==== Computer Vision and Image Analysis ====<br /> --&gt;<br /> &lt;!--==== E-Science ====<br /> --&gt;<br /> <br /> ==== Computational Intelligence and Games ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> {{Project template<br /> |title= AI in Racing Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=[http://torcs.sourceforge.net/ TORCS] is a state-of-the-art open source racing simulator that represents an ideal bechmark for machine learning techniques. At the same time, Machine Learning techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> ;References<br /> *[http://gar.eecs.ucf.edu/ Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=TORCS2.jpg}}<br /> <br /> {{Project template<br /> |title= Automatic Content Generation in Computer Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from [http://gar.eecs.ucf.edu/]<br /> ;references<br /> *[http://gar.eecs.ucf.edu/ Galactic Arm Race]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://julian.togelius.com/Togelius2007Towards.pdf J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=gar.jpg}}<br /> <br /> {{Project template<br /> |title= Human-Like AI in Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *[http://research.microsoft.com/en-us/projects/drivatar/default.aspx Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://botprize.org/ Botprize]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=UT2004.png}}<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Social Software and Semantic Web]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====<br /> --&gt;<br /> <br /> ==== Machine Learning ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Robotics ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Thesis]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> <br /> {{Project template<br /> |title=Simulation of 6-DOF Robot Manipulator<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a simulator for a 6-DOF robot manipulator, using the [http://www.ode.org/ ode] (open dynamics engine) library for simulating the rigid body dynamics. The project involves three different phases:<br /> * Building the physical model of the manipulator<br /> * Implementing the forward and inverse kinematic routines <br /> * Implementing the trajectory planning routines<br /> * Implementing the control modules<br /> * Implementing an interface to control the robot movements<br /> <br /> This project allows to put into practice what has been explained during the first part of the course of Robotics.<br /> <br /> The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=10-15<br /> |image=puma6dof1.jpg}}<br /> <br /> {{Project template<br /> |title=Calibration of IMU-camera system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:DavideMigliore|Davide Migliore]]<br /> |description=This work is about the problem to calibrate a system composed by an XSense <br /> Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on <br /> the problem to estimate both unknown rotation between the two devices and the <br /> extrinsic/intrinsic parameters of the camera. This algorithm allows to use the <br /> system for SLAM or robotics applications, like a wereable device for autonomous <br /> navigation or augmented reality. <br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> ;Links<br /> :Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]<br /> :List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]<br /> <br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=Imu_cam_big_sphere.gif}}<br /> <br /> {{Project template<br /> |title= Robot games<br /> |tutor= Andrea Bonarini (bonarini-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this activity is to develop an interactive game with robots using commercial devices such as the WII Mote (see the [http://airwiki.elet.polimi.it/mediawiki/index.php/Robogames Robogames page]) <br /> Projects are available in different areas:<br /> * Design and implementation of the game on one of the available robots and extension of the robot functionalities<br /> * Design and implementation of the game and a new suitable robot<br /> * Evaluation of the game with users (in collaboration with [http://www.elet.polimi.it/people/garzotto Franca Garzotto])<br /> <br /> These projects allow to experiment with real mobile robots and real interaction devices.<br /> <br /> Parts of these projects can be considered as course projects. These projects can also be extended to cover course projects.<br /> |start=Anytime<br /> |number=1-2<br /> |cfu=7.5-12.5<br /> |image=Robowii_robot.jpg}}<br /> <br /> &lt;!--==== Affective Computing ====<br /> --&gt;<br /> &lt;!--==== Soft Computing ====<br /> --&gt;</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Automatic_Content_Generation_in_Computer_Games&diff=9155 2009-10-29T18:42:19Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Automatic Content Generation in Computer Games <br /> |image=gar.jpg<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from http://gar.eecs.ucf.edu/<br /> ;References<br /> *Galactic Arm Race (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono<br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=AI_in_Racing_Games&diff=9154 2009-10-29T18:41:59Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=AI in Racing Games <br /> |image=TORCS2.jpg<br /> |description= This project is focused on TORCS, a state-of-the-art open source racing simulator. From one hand, TORCS represents an ideal bechmark to study Computational Intelligence techniques. On the other hand, Computational Intelligence techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> References:<br /> *Drivatar in Forza Motorsport (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono<br /> |start=2009/10/1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=First_Level_Course_Projects&diff=9153 2009-10-29T18:41:30Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find a list of project proposals for the courses of &quot;Progetto di Ingegneria Informatica&quot; and &quot;Progetto di Robotica&quot; (5 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Agents, Multiagent Systems, Agencies ====--&gt;<br /> <br /> ==== BioSignal Analysis ====<br /> <br /> ===== Brain-Computer Interface =====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::BioSignal Analysis]]<br /> [[PrjResTopic::Brain-Computer Interface]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Affective Computing ====--&gt;<br /> <br /> ==== Computer Vision and Image Analysis ====<br /> <br /> {{Project template<br /> |title=Video surveillance system for indoor Environment<br /> |tutor=Matteo Matteucci (matteucci-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a video surveillance system based on background subtraction algorithm. The idea is to use a single static camera to track moving objects in a known environment. <br /> The skills required for this project are:<br /> * C/C++ and OpenCV library<br /> * Linux o.s.<br /> <br /> The project can be turned into a thesis extending the algorithm for camera network.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Danch4.png <br /> }}<br /> <br /> &lt;!--==== E-Science ====--&gt;<br /> <br /> ==== Computational Intelligence and Games ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> &lt;!-- ===== Social Network Analysis ===== --&gt;<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]]<br /> [[PrjResArea::Social Software and Semantic Web]] |<br /> &lt;!-- [[PrjResTopic::Social Network Analysis]] | --&gt;<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====--&gt;<br /> <br /> <br /> <br /> ==== Machine Learning ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Robotics ====<br /> {{Project template<br /> |title=Simulation of 6-DOF Robot Manipulator<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a simulator for a 6-DOF robot manipulator, using the [http://www.ode.org/ ode] (open dynamics engine) library for simulating the rigid body dynamics. The project involves three different phases:<br /> * Building the physical model of the manipulator<br /> * Implementing the forward and inverse kinematic routines <br /> * Implementing the trajectory planning routines<br /> * Implementing the control modules<br /> * Implementing an interface to control the robot movements<br /> <br /> This project allows to put into practice what has been explained during the first part of the course of Robotics.<br /> <br /> The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=10-15<br /> |image=puma6dof1.jpg}}<br /> <br /> {{Project template<br /> |title=Calibration of IMU-camera system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:DavideMigliore|Davide Migliore]]<br /> |description=This work is about the problem to calibrate a system composed by an XSense <br /> Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on <br /> the problem to estimate both unknown rotation between the two devices and the <br /> extrinsic/intrinsic parameters of the camera. This algorithm allows to use the <br /> system for SLAM or robotics applications, like a wereable device for autonomous <br /> navigation or augmented reality. <br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> ;Links<br /> :Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]<br /> :List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]<br /> <br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=Imu_cam_big_sphere.gif}}<br /> <br /> <br /> {{Project template<br /> |title=Humanoid robotics<br /> |tutor=Giuseppina Gini(gini-AT-elet-DOT-polimi-DOT-it)<br /> |description=this project is about developing various functions of humanoids, in particular related to sensing and cognition for manipulation. Possible specific projects are:<br /> * BIOINSPIRED ROBOT HEAD FOR VISION - design and build a robot head able to host 2 cameras with 2dof of freedom each to create a human-like vision system. The movements can be obtained using 4 McKibben actuators for each camera, or electric actuators.<br /> * NEW HARDWARE FOR MAXIMUMOne - the humanoid robot is moved by more than 20 actuators and needs input from all of them. The new architecture FPGA based will move the arm and the head.<br /> * SIMULATOR OF HUMANOID ROBOT - complete the simulator of MaximumOne with all the dof. The simulator will use the same Matlab algorithms of the controller.<br /> * INTEGRATING MANIPULATION AND VISION ON MAXIMUMOne - develop a natural vision system that uses the neck and the eyes movements to follow objects and to concentrate on grasping targets. The integration can be done in matlab/Simulink and integrated in the MaximumOne model.<br /> * PATH PLANNING AND COLLISION AVOIDANCE IN OOPS - Randomized path planning is a strategy to produce paths for complex devices. An open source project (OOPS) is available; the project is about integrating path planning with a robot simulator. <br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=4-5<br /> |cfu=5-20<br /> |image=maximum.jpg}}<br /> <br /> {{Project template<br /> |title=Legged locomotion<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= The proposed projects in the area of walking robots will improve the performances of on-going systems.<br /> * KINEMATIC/DYNAMIC MODEL OF WARUGADAR - develop a complete kinematic analysis of a quadruped robot, useful for planning the foot position on uneven terrains. The dynamic model will be useful for learning different gaits.<br /> * GAIT GENERATION AND CONTROL FOR WARUGADAR - Study Central Pattern Generation, develop a CPG implementation in Matlab or Python. Adapt the method to a quadruped robot (Warugadar).<br /> * ROBO FISH - Continue the development of hardware and software for the robotic fish Zoidberg2, and study a fish colony.<br /> * EMBOT WALKING - complete the robot with 4 wheels used as feet. Control it and experiment.<br /> * ROBOTIC EXPERIMENTS WITH BIOLOID - using Bioloid experiments hw and gaits, develop software for the humanoid challenges at ICRA2010.<br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=2-5<br /> |cfu=5-20<br /> |image=leg.jpg}}<br /> <br /> <br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Automatic_Content_Generation_in_Computer_Games&diff=9152 2009-10-29T18:41:06Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Automatic Content Generation in Computer Games <br /> |image=gar.jpg<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from http://gar.eecs.ucf.edu/<br /> ;References<br /> *Galactic Arm Race (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono<br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games; Content Generation<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Human-Like_AI_in_Games&diff=9151 2009-10-29T18:40:25Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Human-Like AI in Games<br /> |image=UT2004.png<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *Drivatar in Forza Motorsport (http://research.microsoft.com/en-us/projects/drivatar/default.aspx) <br /> *TORCS (http://torcs.sourceforge.net/ TORCS)<br /> *Botprize (http://botprize.org/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games;<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Active<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Human-Like_AI_in_Games&diff=9150 2009-10-29T18:40:09Z

<p>DanieleLoiacono: New page: {{ProjectProposal |title=Human-Like AI in Games |image=UT2004.jpg |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial ...</p> <hr /> <div>{{ProjectProposal<br /> |title=Human-Like AI in Games<br /> |image=UT2004.jpg<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *Drivatar in Forza Motorsport (http://research.microsoft.com/en-us/projects/drivatar/default.aspx) <br /> *TORCS (http://torcs.sourceforge.net/ TORCS)<br /> *Botprize (http://botprize.org/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono; <br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |restopic=Computational Intelligence and Games;<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Active<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Content_Generation&diff=9149 2009-10-29T18:34:37Z

<p>DanieleLoiacono: New page: Category:Research Topic</p> <hr /> <div>[[Category:Research Topic]]</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Automatic_Content_Generation_in_Computer_Games&diff=9148 2009-10-29T18:33:50Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Automatic Content Generation in Computer Games <br /> |image=gar.jpg<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from http://gar.eecs.ucf.edu/<br /> ;References<br /> *Galactic Arm Race (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono<br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |restopic=Computational Intelligence and Games; Content Generation<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Automatic_Content_Generation_in_Computer_Games&diff=9147 2009-10-29T18:33:22Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=Automatic Content Generation in Computer Games <br /> |image=gar.Jpg<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from http://gar.eecs.ucf.edu/<br /> ;References<br /> *Galactic Arm Race (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono<br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |restopic=Computational Intelligence and Games; Content Generation<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=Automatic_Content_Generation_in_Computer_Games&diff=9146 2009-10-29T18:32:56Z

<p>DanieleLoiacono: New page: {{ProjectProposal |title=Automatic Content Generation in Computer Games |image=Gar.Jpg |description=The generation of customized game content for each player is an attractive direction to...</p> <hr /> <div>{{ProjectProposal<br /> |title=Automatic Content Generation in Computer Games <br /> |image=Gar.Jpg<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from http://gar.eecs.ucf.edu/<br /> ;References<br /> *Galactic Arm Race (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)<br /> |tutor=DanieleLoiacono<br /> |start=2009/10/01<br /> |studmin=1<br /> |studmax=2<br /> |restopic=Computational Intelligence and Games; Content Generation<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Active<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=AI_in_Racing_Games&diff=9145 2009-10-29T18:28:33Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=AI in Racing Games <br /> |image=TORCS2.jpg<br /> |description= This project is focused on TORCS, a state-of-the-art open source racing simulator. From one hand, TORCS represents an ideal bechmark to study Computational Intelligence techniques. On the other hand, Computational Intelligence techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> References:<br /> *Drivatar in Forza Motorsport (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono<br /> |start=2009/10/1<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=Racing; Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=First_Level_Course_Projects&diff=9144 2009-10-29T18:27:34Z

<p>DanieleLoiacono: /* Computational Intelligence and Games */</p> <hr /> <div>Here you can find a list of project proposals for the courses of &quot;Progetto di Ingegneria Informatica&quot; and &quot;Progetto di Robotica&quot; (5 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Agents, Multiagent Systems, Agencies ====--&gt;<br /> <br /> ==== BioSignal Analysis ====<br /> <br /> ===== Brain-Computer Interface =====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::BioSignal Analysis]]<br /> [[PrjResTopic::Brain-Computer Interface]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Affective Computing ====--&gt;<br /> <br /> ==== Computer Vision and Image Analysis ====<br /> <br /> {{Project template<br /> |title=Video surveillance system for indoor Environment<br /> |tutor=Matteo Matteucci (matteucci-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a video surveillance system based on background subtraction algorithm. The idea is to use a single static camera to track moving objects in a known environment. <br /> The skills required for this project are:<br /> * C/C++ and OpenCV library<br /> * Linux o.s.<br /> <br /> The project can be turned into a thesis extending the algorithm for camera network.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Danch4.png <br /> }}<br /> <br /> &lt;!--==== E-Science ====--&gt;<br /> <br /> ==== Computational Intelligence and Games ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Computational Intelligence and Games]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> {{Project template<br /> |title= AI in Racing Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=[http://torcs.sourceforge.net/ TORCS] is a state-of-the-art open source racing simulator that represents an ideal bechmark for machine learning techniques. At the same time, Machine Learning techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> ;References<br /> *[http://gar.eecs.ucf.edu/ Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=TORCS2.jpg}}<br /> <br /> {{Project template<br /> |title= Automatic Content Generation in Computer Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from [http://gar.eecs.ucf.edu/]<br /> ;references<br /> *[http://gar.eecs.ucf.edu/ Galactic Arm Race]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://julian.togelius.com/Togelius2007Towards.pdf J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=gar.jpg}}<br /> <br /> {{Project template<br /> |title= Human-Like AI in Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *[http://research.microsoft.com/en-us/projects/drivatar/default.aspx Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://botprize.org/ Botprize]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=UT2004.png}}<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> &lt;!-- ===== Social Network Analysis ===== --&gt;<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]]<br /> [[PrjResArea::Social Software and Semantic Web]] |<br /> &lt;!-- [[PrjResTopic::Social Network Analysis]] | --&gt;<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====--&gt;<br /> <br /> <br /> <br /> ==== Machine Learning ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Robotics ====<br /> {{Project template<br /> |title=Simulation of 6-DOF Robot Manipulator<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a simulator for a 6-DOF robot manipulator, using the [http://www.ode.org/ ode] (open dynamics engine) library for simulating the rigid body dynamics. The project involves three different phases:<br /> * Building the physical model of the manipulator<br /> * Implementing the forward and inverse kinematic routines <br /> * Implementing the trajectory planning routines<br /> * Implementing the control modules<br /> * Implementing an interface to control the robot movements<br /> <br /> This project allows to put into practice what has been explained during the first part of the course of Robotics.<br /> <br /> The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=10-15<br /> |image=puma6dof1.jpg}}<br /> <br /> {{Project template<br /> |title=Calibration of IMU-camera system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:DavideMigliore|Davide Migliore]]<br /> |description=This work is about the problem to calibrate a system composed by an XSense <br /> Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on <br /> the problem to estimate both unknown rotation between the two devices and the <br /> extrinsic/intrinsic parameters of the camera. This algorithm allows to use the <br /> system for SLAM or robotics applications, like a wereable device for autonomous <br /> navigation or augmented reality. <br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> ;Links<br /> :Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]<br /> :List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]<br /> <br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=Imu_cam_big_sphere.gif}}<br /> <br /> <br /> {{Project template<br /> |title=Humanoid robotics<br /> |tutor=Giuseppina Gini(gini-AT-elet-DOT-polimi-DOT-it)<br /> |description=this project is about developing various functions of humanoids, in particular related to sensing and cognition for manipulation. Possible specific projects are:<br /> * BIOINSPIRED ROBOT HEAD FOR VISION - design and build a robot head able to host 2 cameras with 2dof of freedom each to create a human-like vision system. The movements can be obtained using 4 McKibben actuators for each camera, or electric actuators.<br /> * NEW HARDWARE FOR MAXIMUMOne - the humanoid robot is moved by more than 20 actuators and needs input from all of them. The new architecture FPGA based will move the arm and the head.<br /> * SIMULATOR OF HUMANOID ROBOT - complete the simulator of MaximumOne with all the dof. The simulator will use the same Matlab algorithms of the controller.<br /> * INTEGRATING MANIPULATION AND VISION ON MAXIMUMOne - develop a natural vision system that uses the neck and the eyes movements to follow objects and to concentrate on grasping targets. The integration can be done in matlab/Simulink and integrated in the MaximumOne model.<br /> * PATH PLANNING AND COLLISION AVOIDANCE IN OOPS - Randomized path planning is a strategy to produce paths for complex devices. An open source project (OOPS) is available; the project is about integrating path planning with a robot simulator. <br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=4-5<br /> |cfu=5-20<br /> |image=maximum.jpg}}<br /> <br /> {{Project template<br /> |title=Legged locomotion<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= The proposed projects in the area of walking robots will improve the performances of on-going systems.<br /> * KINEMATIC/DYNAMIC MODEL OF WARUGADAR - develop a complete kinematic analysis of a quadruped robot, useful for planning the foot position on uneven terrains. The dynamic model will be useful for learning different gaits.<br /> * GAIT GENERATION AND CONTROL FOR WARUGADAR - Study Central Pattern Generation, develop a CPG implementation in Matlab or Python. Adapt the method to a quadruped robot (Warugadar).<br /> * ROBO FISH - Continue the development of hardware and software for the robotic fish Zoidberg2, and study a fish colony.<br /> * EMBOT WALKING - complete the robot with 4 wheels used as feet. Control it and experiment.<br /> * ROBOTIC EXPERIMENTS WITH BIOLOID - using Bioloid experiments hw and gaits, develop software for the humanoid challenges at ICRA2010.<br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=2-5<br /> |cfu=5-20<br /> |image=leg.jpg}}<br /> <br /> <br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=First_Level_Course_Projects&diff=9143 2009-10-29T18:26:54Z

<p>DanieleLoiacono: </p> <hr /> <div>Here you can find a list of project proposals for the courses of &quot;Progetto di Ingegneria Informatica&quot; and &quot;Progetto di Robotica&quot; (5 CFU for each student). See [[Project Proposals]] for other kinds of projects and theses.<br /> <br /> &lt;!--==== Agents, Multiagent Systems, Agencies ====--&gt;<br /> <br /> ==== BioSignal Analysis ====<br /> <br /> ===== Brain-Computer Interface =====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::BioSignal Analysis]]<br /> [[PrjResTopic::Brain-Computer Interface]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> &lt;!--==== Affective Computing ====--&gt;<br /> <br /> ==== Computer Vision and Image Analysis ====<br /> <br /> {{Project template<br /> |title=Video surveillance system for indoor Environment<br /> |tutor=Matteo Matteucci (matteucci-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a video surveillance system based on background subtraction algorithm. The idea is to use a single static camera to track moving objects in a known environment. <br /> The skills required for this project are:<br /> * C/C++ and OpenCV library<br /> * Linux o.s.<br /> <br /> The project can be turned into a thesis extending the algorithm for camera network.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=2.5-15<br /> |image=Danch4.png <br /> }}<br /> <br /> &lt;!--==== E-Science ====--&gt;<br /> <br /> ==== Computational Intelligence and Games ====<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResTopic::Compuational Intelligence and Games]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> {{Project template<br /> |title= AI in Racing Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=[http://torcs.sourceforge.net/ TORCS] is a state-of-the-art open source racing simulator that represents an ideal bechmark for machine learning techniques. At the same time, Machine Learning techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> ;References<br /> *[http://gar.eecs.ucf.edu/ Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=TORCS2.jpg}}<br /> <br /> {{Project template<br /> |title= Automatic Content Generation in Computer Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information.<br /> Picutre taken from [http://gar.eecs.ucf.edu/]<br /> ;references<br /> *[http://gar.eecs.ucf.edu/ Galactic Arm Race]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://cig.dei.polimi.it/ CIG@PoliMI]<br /> *[http://julian.togelius.com/Togelius2007Towards.pdf J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=gar.jpg}}<br /> <br /> {{Project template<br /> |title= Human-Like AI in Games<br /> |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)<br /> |description=Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers.<br /> Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. <br /> Please contact us for additional information.<br /> ;References<br /> *[http://research.microsoft.com/en-us/projects/drivatar/default.aspx Drivatar in Forza Motorsport]<br /> *[http://torcs.sourceforge.net/ TORCS]<br /> *[http://botprize.org/ Botprize]<br /> *[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&amp;R Lab Projects]<br /> |start=Anytime<br /> |number=1 to 2 <br /> |cfu=5-20<br /> |image=UT2004.png}}<br /> <br /> ==== Social Software and Semantic Web ====<br /> <br /> &lt;!-- ===== Social Network Analysis ===== --&gt;<br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]]<br /> [[PrjResArea::Social Software and Semantic Web]] |<br /> &lt;!-- [[PrjResTopic::Social Network Analysis]] | --&gt;<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> &lt;!--==== Philosophy of Artificial Intelligence ====--&gt;<br /> <br /> <br /> <br /> ==== Machine Learning ====<br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Machine Learning]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}<br /> <br /> <br /> ==== Robotics ====<br /> {{Project template<br /> |title=Simulation of 6-DOF Robot Manipulator<br /> |tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)<br /> |description=The goal of this project is to develop a simulator for a 6-DOF robot manipulator, using the [http://www.ode.org/ ode] (open dynamics engine) library for simulating the rigid body dynamics. The project involves three different phases:<br /> * Building the physical model of the manipulator<br /> * Implementing the forward and inverse kinematic routines <br /> * Implementing the trajectory planning routines<br /> * Implementing the control modules<br /> * Implementing an interface to control the robot movements<br /> <br /> This project allows to put into practice what has been explained during the first part of the course of Robotics.<br /> <br /> The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.<br /> |start=Anytime<br /> |number=2-3<br /> |cfu=10-15<br /> |image=puma6dof1.jpg}}<br /> <br /> {{Project template<br /> |title=Calibration of IMU-camera system<br /> |tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:DavideMigliore|Davide Migliore]]<br /> |description=This work is about the problem to calibrate a system composed by an XSense <br /> Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on <br /> the problem to estimate both unknown rotation between the two devices and the <br /> extrinsic/intrinsic parameters of the camera. This algorithm allows to use the <br /> system for SLAM or robotics applications, like a wereable device for autonomous <br /> navigation or augmented reality. <br /> <br /> ;Tools and instruments<br /> :Matlab/C++<br /> <br /> ;Links<br /> :Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]<br /> :List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]<br /> <br /> |start=Anytime<br /> |number=1<br /> |cfu=5-20<br /> |image=Imu_cam_big_sphere.gif}}<br /> <br /> <br /> {{Project template<br /> |title=Humanoid robotics<br /> |tutor=Giuseppina Gini(gini-AT-elet-DOT-polimi-DOT-it)<br /> |description=this project is about developing various functions of humanoids, in particular related to sensing and cognition for manipulation. Possible specific projects are:<br /> * BIOINSPIRED ROBOT HEAD FOR VISION - design and build a robot head able to host 2 cameras with 2dof of freedom each to create a human-like vision system. The movements can be obtained using 4 McKibben actuators for each camera, or electric actuators.<br /> * NEW HARDWARE FOR MAXIMUMOne - the humanoid robot is moved by more than 20 actuators and needs input from all of them. The new architecture FPGA based will move the arm and the head.<br /> * SIMULATOR OF HUMANOID ROBOT - complete the simulator of MaximumOne with all the dof. The simulator will use the same Matlab algorithms of the controller.<br /> * INTEGRATING MANIPULATION AND VISION ON MAXIMUMOne - develop a natural vision system that uses the neck and the eyes movements to follow objects and to concentrate on grasping targets. The integration can be done in matlab/Simulink and integrated in the MaximumOne model.<br /> * PATH PLANNING AND COLLISION AVOIDANCE IN OOPS - Randomized path planning is a strategy to produce paths for complex devices. An open source project (OOPS) is available; the project is about integrating path planning with a robot simulator. <br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=4-5<br /> |cfu=5-20<br /> |image=maximum.jpg}}<br /> <br /> {{Project template<br /> |title=Legged locomotion<br /> |tutor=[[User:Giuseppina Gini|Giuseppina Gini]] ([mailto:gini%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])<br /> |description= The proposed projects in the area of walking robots will improve the performances of on-going systems.<br /> * KINEMATIC/DYNAMIC MODEL OF WARUGADAR - develop a complete kinematic analysis of a quadruped robot, useful for planning the foot position on uneven terrains. The dynamic model will be useful for learning different gaits.<br /> * GAIT GENERATION AND CONTROL FOR WARUGADAR - Study Central Pattern Generation, develop a CPG implementation in Matlab or Python. Adapt the method to a quadruped robot (Warugadar).<br /> * ROBO FISH - Continue the development of hardware and software for the robotic fish Zoidberg2, and study a fish colony.<br /> * EMBOT WALKING - complete the robot with 4 wheels used as feet. Control it and experiment.<br /> * ROBOTIC EXPERIMENTS WITH BIOLOID - using Bioloid experiments hw and gaits, develop software for the humanoid challenges at ICRA2010.<br /> <br /> All the projects can be turned into a thesis.<br /> |start=Anytime<br /> |number=2-5<br /> |cfu=5-20<br /> |image=leg.jpg}}<br /> <br /> <br /> <br /> <br /> {{#ask: [[Category:ProjectProposal]] <br /> [[PrjResArea::Robotics]]<br /> [[PrjLevel::Bs]]<br /> [[PrjType::Course]] |<br /> ?PrjTitle |<br /> ?PrjImage |<br /> ?PrjDescription |<br /> ?PrjTutor |<br /> ?PrjStarts |<br /> ?PrjStudMin |<br /> ?PrjStudMax |<br /> ?PrjCFUMin |<br /> ?PrjCFUMax |<br /> ?PrjResArea |<br /> ?PrjResTopic |<br /> format = template |<br /> template = Template:ProjectProposalViz<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=AI_in_Racing_Games&diff=9142 2009-10-29T18:24:19Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=AI in Racing Games <br /> |image=TORCS2.jpg<br /> |description= This project is focused on TORCS, a state-of-the-art open source racing simulator. From one hand, TORCS represents an ideal bechmark to study Computational Intelligence techniques. On the other hand, Computational Intelligence techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> References:<br /> *Drivatar in Forza Motorsport (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono<br /> |start=Anytime<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=Racing; Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=AI_in_Racing_Games&diff=9141 2009-10-29T18:23:36Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=AI in Racing Games <br /> |image=TORCS2.jpg<br /> |description= This project is focused on TORCS, a state-of-the-art open source racing simulator. From one hand, TORCS represents an ideal bechmark to study Computational Intelligence techniques. On the other hand, Computational Intelligence techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> References:<br /> *Drivatar in Forza Motorsport (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> * [[TORCS http://torcs.sourceforge.net/]]<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono<br /> |start=Anytime<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=Racing; Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono https://airwiki.deib.polimi.it/index.php?title=AI_in_Racing_Games&diff=9140 2009-10-29T18:23:13Z

<p>DanieleLoiacono: </p> <hr /> <div>{{ProjectProposal<br /> |title=AI in Racing Games <br /> |image=TORCS2.jpg<br /> |description= This project is focused on TORCS, a state-of-the-art open source racing simulator. From one hand, TORCS represents an ideal bechmark to study Computational Intelligence techniques. On the other hand, Computational Intelligence techniques could be used to improve the game experience in this kind of games. Several projects and theses are available on this topic, please contact us for additional information.<br /> References:<br /> *Drivatar in Forza Motorsport (http://gar.eecs.ucf.edu/) <br /> *TORCS (http://torcs.sourceforge.net/)<br /> * [[ http://torcs.sourceforge.net/ TORCS ]]<br /> *CIG@PoliMI (http://cig.dei.polimi.it/)<br /> *Daniele Loiacono's AI&amp;R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) <br /> |tutor=DanieleLoiacono<br /> |start=Anytime<br /> |studmax=2<br /> |cfumin=5<br /> |cfumax=20<br /> |resarea=Computational Intelligence and Games<br /> |restopic=Racing; Computational Intelligence and Games<br /> |level=Bs; Ms<br /> |type=Course; Thesis<br /> |status=Proposal<br /> }}</div>

DanieleLoiacono