Difference between revisions of "First Level Theses"

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Here you can find proposals for first level thesis (7.5 CFU for each student)
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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.
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<!--==== Agents, Multiagent Systems, Agencies ====-->
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==== BioSignal Analysis ====
 
==== BioSignal Analysis ====
 
===== Brain-Computer Interface =====
 
===== Brain-Computer Interface =====
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{{Project template
 
{{Project template
 
|title=Real-time removal of ocular artifact from EEG
 
|title=Real-time removal of ocular artifact from EEG
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|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])
+
|tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])
 
|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.
 
|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.
  
 
;Tools and instruments
 
;Tools and instruments
 
:Matlab, [http://www.bci2000.org/ BCI2000], C++
 
:Matlab, [http://www.bci2000.org/ BCI2000], C++
 +
:EEG system
  
 
;Bibliography
 
;Bibliography
Line 20: Line 21:
 
|cfu=10-20
 
|cfu=10-20
 
|image=B_bci.jpg}}
 
|image=B_bci.jpg}}
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−
{{Project template
 
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|title=Development of an existing genetic algorithm for ERP-based BCIs
 
−
|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])
 
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|description=Different [http://en.wikipedia.org/wiki/Event-related_potential event-related potentials] (ERPs) are used in [[Brain-Computer Interface|BCIs]], e.g., [http://en.wikipedia.org/wiki/P300_(Neuroscience) P300] and error potentials.
 
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A [http://en.wikipedia.org/wiki/Genetic_algorithm genetic algorithm] (GA) for ERP feature extraction has been developed at the Airlab.  The GA has been proved to work, but there different ways that can explored to further develop this algorithm and expand its application field.
 
−
 
−
;Tools and instruments
 
−
:C++, Matlab, [http://www.bci2000.org/ BCI2000]
 
−
:Good programming skill required
 
−
 
−
;Bibliography
 
−
:B. Dal Seno, M. Matteucci, L. Mainardi. ''A Genetic Algorithm for Automatic Feature Extraction in P300 Detection'' [http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=4634243&isnumber=4633757&punumber=4625775]
 
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|start=Anytime
 
−
|number=1
 
−
|cfu=5-20
 
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|image=Ga-scheme.png}}
 
  
 
{{Project template
 
{{Project template
 
|title=Driving an autonomous wheelchair with a P300-based BCI
 
|title=Driving an autonomous wheelchair with a P300-based BCI
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|tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:BernardoDalSeno|Bernardo Dal Seno]]
+
|tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])
 
|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.
 
|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.
  
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:C++, C, [http://www.bci2000.org/ BCI2000], Matlab
 
:C++, C, [http://www.bci2000.org/ BCI2000], Matlab
 
:Linux
 
:Linux
 +
:EEG system
 +
:Lurch wheelchair
  
 
;Bibliography
 
;Bibliography
 
: R. Blatt et al. ''Brain Control of a Smart Wheelchair'' [http://www.booksonline.iospress.com/Content/View.aspx?piid=9401]
 
: R. Blatt et al. ''Brain Control of a Smart Wheelchair'' [http://www.booksonline.iospress.com/Content/View.aspx?piid=9401]
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|start=November 2008
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|start=Anytime
 
|number=1
 
|number=1
 
|cfu=5-20
 
|cfu=5-20
 
|image=LURCH_wheelchair.jpg}}
 
|image=LURCH_wheelchair.jpg}}
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{{Project template
 
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|title=Online automatic tuning of the number of repetitions in a P300-based BCI
 
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|tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:BernardoDalSeno|Bernardo Dal Seno]]
 
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|description=In a [http://en.wikipedia.org/wiki/P300_(Neuroscience) P300]-based [[Brain-Computer_Interface|BCI]], (visual) stimuli are presented to the user, and the intention of the user is recognized when a P300 potential is recognized in response of the desired stimulus.  In order to improve accuracy, many stimulation rounds are usually performed before making a decision.  The exact number of repetitions depends on the user and the goodness of the classifier, but it is usually fixed a-priori.  The aim of this project is to adapt the number of repetitions to changing conditions, so as to achieve the maximum accuracy with the minimum time.
 
−
The work will be validated with live experiments.
 
−
 
−
;Tools and instruments
 
−
:C++, [http://www.bci2000.org/ BCI2000], Matlab
 
−
 
−
;Bibliography
 
−
: E. Donchin, K.M. Spencer, R. Wijesinghe. ''The Mental Prosthesis: Assessing the Speed of a P300-Based Brain-Computer Interface'' [http://www.cs.cmu.edu/~tanja/BCI/P300Speed_2000.pdf]
 
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|start=Anytime
 
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|number=1
 
−
|cfu=5-20
 
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|image=B_p300_speller.jpg}}
 
  
 
{{Project template
 
{{Project template
 
|title=Reproduction of an algorithm for the recognition of error potentials
 
|title=Reproduction of an algorithm for the recognition of error potentials
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|tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:BernardoDalSeno|Bernardo Dal Seno]]
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|tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])
 
|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.
 
|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.
 
The project aims at reproducing algorithms for ErrP detection from the literature.
 
The project aims at reproducing algorithms for ErrP detection from the literature.
Line 83: Line 53:
 
: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]
 
: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]
 
:G. Schalk et al. ''EEG-based communication: presence of an error potential'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&issn=13882457&volume=111&issue=12&firstpage=2138&form=html]
 
:G. Schalk et al. ''EEG-based communication: presence of an error potential'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&issn=13882457&volume=111&issue=12&firstpage=2138&form=html]
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|start=Anytime
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|start=This project has already been assigned
 
|number=1
 
|number=1
 
|cfu=5-15
 
|cfu=5-15
 
|image=Bci_arch.png}}
 
|image=Bci_arch.png}}
  
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<!--==== Computer Vision and Image Analysis ====-->
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<!--==== Computer Vision and Image Analysis ====
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<!--==== E-Science ====-->
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<!--==== E-Science ====
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==== Computational Intelligence and Games ====
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 +
{{#ask: [[Category:ProjectProposal]]
 +
[[PrjResTopic::Computational Intelligence and Games]]
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[[PrjLevel::Bs]]
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[[PrjType::Thesis]] |
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?PrjTitle |
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?PrjImage |
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?PrjDescription |
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?PrjTutor |
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?PrjStarts |
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?PrjStudMin |
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?PrjStudMax |
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?PrjCFUMin |
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?PrjCFUMax |
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?PrjResArea |
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?PrjResTopic |
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format = template |
 +
template = Template:ProjectProposalViz
 +
}}
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 +
==== Social Software and Semantic Web ====
 +
 
 +
{{#ask: [[Category:ProjectProposal]]
 +
[[PrjResArea::Social Software and Semantic Web]]
 +
[[PrjLevel::Bs]]
 +
[[PrjType::Thesis]] |
 +
?PrjTitle |
 +
?PrjImage |
 +
?PrjDescription |
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?PrjTutor |
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?PrjStarts |
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?PrjStudMin |
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?PrjStudMax |
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?PrjCFUMin |
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?PrjCFUMax |
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?PrjResArea |
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?PrjResTopic |
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format = template |
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template = Template:ProjectProposalViz
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}}
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<!--==== Philosophy of Artificial Intelligence ====
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==== Machine Learning ====
 
==== Machine Learning ====
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{{Project template
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{{#ask: [[Category:ProjectProposal]]
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|title= Learning API for TORCS
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[[PrjResArea::Machine Learning]]
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|tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)
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[[PrjLevel::Bs]]
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|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. We already organized two successfull competitions based on TORCS where competitors have been asked to develop a controller using their preferred machine learning techniques. The goal of this project is to extend the existing C++ API (available [http://cig.dei.polimi.it/ here]) to simplify the development of controller using a learning framework.
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[[PrjType::Thesis]] |
−
Such an extension can be partially developed by porting an existing Java API for TORCS that already provides a lot of functionalities for machine learning approaches.
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?PrjTitle |
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|start=Anytime
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?PrjImage |
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|number=1 to 2
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?PrjDescription |
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|cfu=5 to 12.5
+
?PrjTutor |
−
|image=TORCS.jpg}}
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?PrjStarts |
 +
?PrjStudMin |
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?PrjStudMax |
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?PrjCFUMin |
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?PrjCFUMax |
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?PrjResArea |
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?PrjResTopic |
 +
format = template |
 +
template = Template:ProjectProposalViz
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}}
  
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{{Project template
 
−
|title= EyeBot
 
−
|tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it), Alessandro Giusti (giusti-AT-elet-DOT-polimi-DOT-it), and Pierluigi Taddei (taddei-AT-elet-DOT-polimi-DOT-it)
 
−
|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. We already organized two successfull competitions based on TORCS where competitors have been asked to develop a controller using their preferred machine learning techniques. So far, the controller developed for TORCS used as input only information extracted directly from the state of the game. The goal of this project is to extend the existing controller API (see [http://cig.dei.polimi.it/ here]) to use the visual information (e.g. the screenshots of the game) as input to the controllers. A successfull project will include both the development of the API and some basic imaga preprocessing to extract information from the images.
 
−
|start=Anytime
 
−
|number=1 to 2
 
−
|cfu=5 to 12.5
 
−
|image=TORCS2.jpg}}
 
  
−
{{Project template
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==== Robotics ====
−
|title= SmarTrack
+
−
|tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)
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−
|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.
+
−
The goal of this project is to apply machine learning techniques for the generation of customized tracks in
+
−
[http://torcs.sourceforge.net/ TORCS], a state-of-the-art open source racing simulator. The project include different activities: the automatic generation of tracks, the section of relevant features to characterize a track and the analysis of an interest measure. 
+
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|start=Anytime
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|number=1 to 2
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|cfu=5 to 12.5
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−
|image=TORCS3.jpg}}
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−
{{Project template
+
{{#ask: [[Category:ProjectProposal]]
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|title= TORCS competition
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[[PrjResArea::Robotics]]
−
|tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)
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[[PrjLevel::Bs]]
−
|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. We already organized two successfull competitions based on TORCS where competitors have been asked to develop a controller using their preferred machine learning techniques.
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[[PrjType::Thesis]] |
−
The goal of this project is to apply any machine learning technique to develop a successfull controller following the competition rules (available [http://cig.dei.polimi.it/?page_id=67 here])
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?PrjTitle |
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|start=Anytime
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?PrjImage |
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|number=1 to 2
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?PrjDescription |
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|cfu=5 to 12.5
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?PrjTutor |
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|image=TORCS.jpg}}
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?PrjStarts |
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?PrjStudMin |
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?PrjStudMax |
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?PrjCFUMin |
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?PrjCFUMax |
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?PrjResArea |
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?PrjResTopic |
 +
format = template |
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template = Template:ProjectProposalViz
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}}
  
  
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<!--==== Ontologies and Semantic Web ====-->
 
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<!--==== Philosophy of Artificial Intelligence ====-->
 
  
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==== Robotics ====
 
 
{{Project template
 
{{Project template
 
|title=Simulation of 6-DOF Robot Manipulator
 
|title=Simulation of 6-DOF Robot Manipulator
Line 155: Line 171:
 
|image=puma6dof1.jpg}}
 
|image=puma6dof1.jpg}}
  
 +
{{Project template
 +
|title=Calibration of IMU-camera system
 +
|tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:DavideMigliore|Davide Migliore]]
 +
|description=This work is about the problem to calibrate a system composed by an XSense
 +
Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on
 +
the problem to estimate both unknown rotation between the two devices and the
 +
extrinsic/intrinsic parameters of the camera. This algorithm allows to use the
 +
system for SLAM or robotics applications, like a wereable device for autonomous
 +
navigation or augmented reality.
 +
 +
;Tools and instruments
 +
:Matlab/C++
 +
 +
;Links
 +
:Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]
 +
:List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]
 +
 +
|start=Anytime
 +
|number=1
 +
|cfu=5-20
 +
|image=Imu_cam_big_sphere.gif}}
  
 
{{Project template
 
{{Project template
Line 172: Line 209:
 
|cfu=7.5-12.5
 
|cfu=7.5-12.5
 
|image=Robowii_robot.jpg}}
 
|image=Robowii_robot.jpg}}
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==== Affective Computing ====
 
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{{Project template
 
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|title= Affective VideoGames
 
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|tutor= Cristiano Alessandro (alessandro-AT-elet-DOT-polimi-DOT-it),  Simone Tognetti (togetti-AT-elet-DOT-polimi-DOT-it)
 
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|description=The goal of this activity is to develop an interactive video game (Car game, Shoot them up, Strategic game ..) able to adapt its behaviour in order to maximize your enjoyment. The game will measure your excitement by analizing your biological signals, which mirror your emotional state. The system will be able to adjust some parameters (i.e difficulty of car game circuits, opponets strength ...) in order to keep you egnagemet constant: "In your flow zone!".
 
−
Project phases:
 
−
* Design and implementation of the game (it is possible to start form avaliable open source game)
 
−
* Design of experimental protocol used to stimulate particolar emotions.
 
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* Data acquisition by usign biological sensors during the playing experience.
 
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* Off-line classification of data with avaliable tools.
 
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* Desing and develop of on-line classifier sistem for emotion recognition
 
−
* Closed loop control: the game reacts to the user emotional state changing its behaviour. 
 
  
−
These projects allow to experiment with biological-data acquisition tools and videogames design.
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<!--==== Affective Computing ====
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-->
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The project consists on the realization of one or more phases depending on the difficulty/cfu to be achieved and to the competences of
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<!--==== Soft Computing ====
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the candidate(s)
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-->
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|start=Anytime
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|number=1 to 3
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|cfu=2.5 to 20
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|image=AffectiveGaming.jpg}}
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{{Project template
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|title= Affective recognition in multimedia contexts
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|tutor= Cristiano Alessandro (alessandro-AT-elet-DOT-polimi-DOT-it),  Simone Tognetti (togetti-AT-elet-DOT-polimi-DOT-it)
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|description=The goal of this activity is to develop an interactive multimedia application (advertisement, e-learning, reccomenadation system) able to capture your emotional state (interests, excitement, anger, joy) while whatching to images, sounds etc. The application will measure your excitement by analizing your biological signals, which mirror your emotional state. The system could be used to give feedback on the quality of multimedia content (i.e goodness of the advertisement, enjoyment of the movie ...)
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Project phases:
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* Design and implementation of the multimedia application.
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* Design of experimental protocol used to stimulate particolar emotions.
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* Data acquisition by usign biological sensors during the multimedia experience.
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* Off-line classification of data with avaliable tools.
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* Desing and develop of on-line classifier sistem for emotion recognition
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* Closed loop control: the multimedia application will provide contents according to your enjoyment . 
+
−
 
+
−
These projects allow to experiment with biological-data acquisition tools and multimedia application design.
+
−
 
+
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The project consists on the realization of one or more phases depending on the difficulty/cfu to be achieved and to the competences of
+
−
the candidate(s)
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−
 
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|start=Anytime
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|number=1 to 3
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|cfu=2.5 to 20
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|image=MultimediaAffective.jpg}}
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+
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{{Project template
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−
|title= Affective robotics
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|tutor= Cristiano Alessandro (alessandro-AT-elet-DOT-polimi-DOT-it),  Simone Tognetti (togetti-AT-elet-DOT-polimi-DOT-it)
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−
|description=The goal of this activity is to develop an rehabilitation robotic game able to capture your emotional state (interests, excitement, anger, joy, stress) while intereacting with the robot. The application will measure your excitement by analizing your biological signals, which mirror your emotional state. The system could be used to adapt the therapy (executed by the game) according to the patien's needs. We believe the quality of the theraphy is related to the subject's emotional state. The long term goal is to keep the user into a specific emotional state in order to maximize the theraphy efficacy.
+
−
Project phases:
+
−
* Design and implementation of the robotic game on the avaliable robot.
+
−
* Design of experimental protocol used to stimulate particolar emotions.
+
−
* Data acquisition by usign biological sensors during the interaction with the robot.
+
−
* Off-line classification of data with avaliable tools.
+
−
* Desing and develop of on-line classifier sistem for emotion recognition
+
−
* Closed loop control: the thrapy will be adapted to the patient's needs. 
+
−
 
+
−
These projects allow to experiment with biological-data acquisition tools, robots and videogame design.
+
−
 
+
−
The project consists on the realization of one or more phases depending on the difficulty/cfu to be achieved and to the competences of
+
−
the candidate(s)
+
−
 
+
−
|start=Anytime
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|number=1 to 3
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|cfu=2.5 to 20
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−
|image=SimoAffective.jpg}}
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−
 
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−
 
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{{Project template
+
−
|title= Driving companions
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−
|tutor= Cristiano Alessandro (alessandro-AT-elet-DOT-polimi-DOT-it),  Simone Tognetti (togetti-AT-elet-DOT-polimi-DOT-it)
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−
|description=The goal of this activity is to develop an application that is able to capture your emotional state (stress, attention level .. ) while driving standard cars. The application will measure the driver's stress level by analizing his biological signals, which mirror the phisiological state, and could be used to give feedbacks to the driver in dangerous situations.
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Project phases:
+
−
* Design of experimental protocol used to stimulate particolar emotions.
+
−
* Data acquisition by usign biological sensors while driving in different conditions (city, highway, country ..)
+
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* Off-line classification of data with avaliable tools.
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* Desing and develop of on-line classifier sistem for emotion recognition
+
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* Closed loop control: the car will give audio/visual feedbacks to the user letting him know its phisiological state
+
−
 
+
−
These projects allow to experiment with biological-data acquisition tools, robots and videogame design.
+
−
 
+
−
The project consists on the realization of one or more phases depending on the difficulty/cfu to be achieved and to the competences of
+
−
the candidate(s)
+
−
 
+
−
|start=Anytime
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−
|number=1 to 3
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|cfu=2.5 to 20
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−
|image=CarAffective.jpg}}
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<!--==== Soft Computing ====-->
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Latest revision as of 23:30, 29 October 2009

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.

BioSignal Analysis

Brain-Computer Interface


Title: Real-time removal of ocular artifact from EEG
B bci.jpg
Description: In a 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.
Tools and instruments
Matlab, BCI2000, C++
EEG system
Bibliography
J.R. Wolpaw et al. Brain-computer interfaces for communication and control [1]
R.J. Croff, R.J. Barry. Removal of ocular artifact from the EEG: a review [2]
Tutor: Matteo Matteucci (email)
Start: Anytime
Number of students: 1
CFU: 10-20



Title: Driving an autonomous wheelchair with a P300-based BCI
LURCH wheelchair.jpg
Description: This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair (LURCH) with a BCI, through the development of key software modules. The work will be validated with live experiments.
Tools and instruments
C++, C, BCI2000, Matlab
Linux
EEG system
Lurch wheelchair
Bibliography
R. Blatt et al. Brain Control of a Smart Wheelchair [3]
Tutor: Matteo Matteucci (email)
Start: Anytime
Number of students: 1
CFU: 5-20



Title: Reproduction of an algorithm for the recognition of error potentials
Bci arch.png
Description: Error potentials (ErrPs) are 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 BCI field to improve the performance of a BCI by automatically detecting classification errors.

The project aims at reproducing algorithms for ErrP detection from the literature.

Tools and instruments
Matlab, BCI2000
EEG system
Bibliography
P.W. Ferrez, J. Millán. You Are Wrong! Automatic Detection of Interaction Errors from Brain Waves [4]
G. Schalk et al. EEG-based communication: presence of an error potential [5]
Tutor: Matteo Matteucci (email)
Start: This project has already been assigned
Number of students: 1
CFU: 5-15



Computational Intelligence and Games

Wiki Page: AI in Racing Games
TORCS2.jpg
Title: AI in Racing Games
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.

References:

Tutor: [[DanieleLoiacono | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Computational Intelligence and Games
Research Topic: Computational Intelligence and Games
Wiki Page: Automatic Content Generation in Computer Games
Gar.jpg
Title: Automatic Content Generation in Computer Games
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.

Picture taken from http://gar.eecs.ucf.edu/

References
Tutor: [[DanieleLoiacono | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Computational Intelligence and Games
Research Topic: Computational Intelligence and Games
Wiki Page: Data Mining in Computer Games
QLive.png
Title: Data Mining in Computer Games
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.

Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live. Please contact us for additional information.

References
Tutor: [[DanieleLoiacono | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Computational Intelligence and Games
Research Topic: Computational Intelligence and Games
Wiki Page: Human-Like AI in Games
UT2004.png
Title: Human-Like AI in Games
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.

Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. Please contact us for additional information.

References
Tutor: [[DanieleLoiacono | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Computational Intelligence and Games
Research Topic: Computational Intelligence and Games

Social Software and Semantic Web

Wiki Page: A firefox extension for semantic annotations
Title: A Firefox extension for semantic annotations
Description: Aim of this project is to develop a Firefox extension, to allow a community of users to annotate resources on the Web using a shared RDF vocabulary.

While browsing the Web, a user should be able to visualize the annotations relative to the page they are visiting, and to add new annotations as well.

Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Semantic Annotations
Wiki Page: Annotation aggregators from social applications
Title: Annotation aggregators from social applications
Description: Annotations are metadata published about a resource, such as tags in del.icio.us, comments on stumbleupon.com, or twines on Twine.com. One of the main problems of these annotations is that they are not expressed in a standard format: thus, any tool trying to aggregate information from these sources should be able to access each one of them in a different way.

The purpose of this project is to develop translation tools for different social annotation systems, collect their data in a common format (expressed using an ontology), and show them through a unique user interface, able to display different annotations (i.e. geo coordinates, dates, tags, etc.) in different ways. Moreover, tests and evaluations should be performed on this aggregator to show how efficient the queries are when performed on-the-fly or from an intermediate knowledge base.

Tutor: [[DavideEynard | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Semantic Annotations
Wiki Page: Extending a search engine with semantic information
Velociraptor.png
Title: Extending a search engine with semantic information
Description: We are used to keyword-based search engines, where only documents matching the exact words in the query are retrieved. In a traditional search engine, if you submit the query "a dinosaur in a university in Lombardy" you won't probably find a document containing the phrase "a velociraptor in Politecnico di Milano", even though it's more or less what you were looking for.

Aim of this project is to expand a traditional search engine with semantic information, so that also documents containing words related to the ones in the query can be retrieved. Existing thesauri and ontologies can be used, as well as more dynamic and collaborative sources of knowledge such as user tags and wikipedia pages and categories.

Starting points for this work can be the projects "SeQuEx - Semantic Query Expansion" and "Enriching search results with semantic metadata".

Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Semantic Search
Wiki Page: Mining wikipedia categories
Wikipedia categories.png
Title: Wikipedia category map
Description: Wikipedia articles are organized in a hierarchy of categories, manually assigned by users. This process can be considered a huge effort for the collective categorization of human knowledge; the result is a wide and disordered graph which can provide precious information for a variety of applications (natural language processing, information retrieval, ontology building...).

In the project "Wikipedia Category Map" a tool has been developed to extract the graph of Wikipedia categories, to store it in RDF format and to interactively visualize and explore it. Aim of this project is to analyze the resulting graph for the extraction of semantic relationships; for example it is possible to define metrics of distance between topics in the graph, which can be useful for various purposes in information retrieval.

Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[RiccardoTasso | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 7 July 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Semantic Tagging
Wiki Page: Social Network Data Extraction from Online Communities
SocialNetworkDataExtraction.png
Title: Social Network Data Extraction From Online Communities
Description: With the growth of the Web and the emergence of online communities, a huge amount of data regarding social relationships is now available, that was unthinkable until a few years ago. The network of connections may unveil precious information about communities structures and dynamics and the spreading of information in the Web.

Aim of this project is to design and develop a software tool to extract this kind of information from a single social network platform (decided by the student). It may be required also some kind of analysis or visual representation of the collected data.

Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis
Wiki Page: Use case design and implementation for semantic annotations
Title: Use case design and implementation for semantic annotation
Description: Semantic annotations offer a variety of possibilities to enhance the user experience while browsing the Web. Aim of this project is to propose one scenario in which their usefulness is exploited for a specific community of users. In detail the project requires to design a simple ontology which describes some kind of domain to annotate resources on the Web and implement an interface to query it and insert assertions inside a semantic store (through SPARQL).

One possible example is the annotation of mp3 files available on the Web. They can be classified in genres or associated to datatype properties, such as rating, title, length and release date... also exploiting data already available in http://musicbrainz.org/

Tutor: [[DavideEynard | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 10
Research Area: Social Software and Semantic Web
Research Topic: Semantic Annotations
Wiki Page: Wikipedia Page Social Network
Title: Wikipedia Page Social Network
Description: Goal of this project is to study the social network of Wikipedia pages, where two pages are connected if they share at least one main contributor. This social network can be studied to reveal interesting information; for example, it is possible to extract clusters of pages which apparently have nothing in common. A metric of distance between pages in the network can be defined, and compared with other metrics, such as the distance in the category tree or in the hyperlink graph.
Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis


Machine Learning

Robotics

Wiki Page: Barking Robots
E2LateralHeadCutSmall.JPG
Title: Barking Robots
Description: Aim of this project is the development of a robot that can operate autonomously at exhibitions and malls to attract people to a given location, by showing interesting behaviors and interacting with people.

The robot first exhibition has been at Robotica 2009, within HI-Tech Expo at Fiera di Milano, on November 23-25, 2009. Here, the robot had to go around in an area delimited by a white stripe and contact verbally and with gestures people entering the area, in order to attract them to the booth.

Behaviors and gestures have still to be developed to come to an interesting and robust demo at next Robotica, or at other ehibits (e.g. at the Museo della Scienza of Milan).

Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 25 February 2012
Students: 1 - 2
CFU: 5 - 20
Research Area: Robotics
Research Topic: Robot development
Wiki Page: BringMeHome
E2LateralHeadCutSmall.JPG
Title: BringMeHome
Description:
Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 30 March 2013
Students: 1 - 2
CFU: 2 - 20
Research Area: Robotics
Research Topic: E-2? - A robot for exhibitions
Wiki Page: Designing Living Objects
EmotionalTrashBin.jpg
Title: Designing Living Objects
Description: The aim of this activity is to investigate how one or more objects in an antropic environment (home, office, hospital) can be designed and implemented to have a character and to move, having nice interactions with people. The work to be done concerns the analysis, definition, design and implementation of at least one of these objects.
Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 15 October 2017
Students: 1 - 2
CFU: 5 - 20
Research Area: Robotics
Research Topic: Living Objects
Wiki Page: R2P IMU firmware development
R2P IMU.png
Title: Embedded Inertial Measurement Unit for Unmanned Aerial Vehihcles
Description: We have developed the electronics of an Inertial Measurement Unit based on an ARM microcontroller to be integrated on an autonomous embedded aerial platform. The IMU has already some attitude heading reference system (AHRS) code implemented, but we are interested in:
  • implementing embedded algorithms for the estimation of the IMU attitude to be compared with the actual one (e.g., Kalman filter, DCM, Madgwick, etc.)
  • developing a, easy to use, procedure for the calibration of IMU parameters
  • making a comparison with commercial units using a robot arm as testbed
  • validate the accuracy of the IMU on a flying platform
  • integrate the measurements from a GPS to reduce drift and provide accurate positiong (this will make it definitely a MS thesis)

Material

  • electronic board and eclipse based C development toolkit for ARM processors
  • papers describing the algorithms we are interested in implementing

Expected outcome:

  • few different AHRS algorithms with comparative results
  • user-friendly procedure to calibrate the IMU
  • a sistem which integrated IMU and GPS to provide accurate positioning

Required skills or skills to be acquired:

  • C programming on ARM microcontroller
  • background on kalman filtering and attitude estimation
Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[MartinoMigliavacca | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 January 2015
Students: 1 - 2
CFU: 2 - 20
Research Area: Robotics
Research Topic: Robot development
Wiki Page: Robot Games
Spykeecontorri.jpg
Title: Robot Games
Description: Projects may include the design of an interactive game on an existing or a new robot, and its evaluation. These projects allow to experiment with real mobile robots and interaction devices. Some games may be designed for disabled children. The project can be considered a MS thesis if it can produce a new game and, possibly, a new robot, and includes adapting the behavior of the robot to the player.
Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 2 - 20
Research Area: Robotics
Research Topic: Robogames
Wiki Page: Scan Matching Odometry and Multisensor SLAM
ScanMatching.jpg
Title: Scan Matching Odometry and Multisensor SLAM
Description: Starting from some C/C++ code for laser scan alignment and the covariance information associated to the matching, we are interested in the development of a library for the matching and fusion of laser scans under the ROS (www.ros.org) environment. From this we are interested in the development of an odometric system based on laser scan matching and in a Simultaneous Localization and Mapping system integrating scan matching with visual SLAM. The result is a complete navigation system that fuses laser and visual information to build consisten maps in an EKF-based environment.

Material:

  • a MS thesis which describes the scan matching algorithms
  • a BS thesis which implements a prototype of the system

Expected outcome:

  • a complete system that build maps integrating laser scan and visual informtion

Required skills or skills to be acquired:

  • Background on Kalman filtering
  • C++ programming under Linux
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 April 2012
Students: 1 - 2
CFU: 10 - 20
Research Area: Robotics
Research Topic: None
Wiki Page: Soccer Robots
RIeRO.jpg
Title: Soccer Robots
Description: Projects are available in different areas:
  • Implementation of mechanical and electronical parts of the robots for the management of the ball and kicking
  • Design of robot behaviors (fuzzy systems)
  • Coordination of robots
  • New sensors


These projects allow to experiment with real mobile robots. Participation to the championships is a unique experience (2000 people, with 800 robots playing all sort of games...)

The project can be turned into a thesis by facing different problems in depth.

Tutor: [[MarcelloRestelli | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 January 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Robotics
Research Topic: Robot development
Wiki Page: Unmanned Aerial Vehicles Visual Navigation
Quadrotor.jpg
Title: A critical review on the state of the art in visual navigation for unmanned aerial vehicles
Description: Visual navigation is becoming more and more important in the development of unmanned aerial vehicles (UAV). The goal of this thesis/tesina is to review in a structured way the current state of art in the field from different perspective: research teams, projects, platforms, tasks, algorithms. The latter is the most important aspect obviously and the project should provide a clear view on what is done today, and obtaining which results. Two kind of operations are of most interest: tracking of fixed and mobile targets (and how this impact on the UAV path), navigation on a geo-referenced map. Implementing one of the standard approaches on a mini unmanned aerial vehicle would be the ideal ending of the work to turn it into a thesis.

Material:

  • papers from major journals and conferences
  • reports from research projects

Expected outcome:

  • a report with a detailed review of the state of the art organized according to the main relevant aspects (to be identified during the work)
  • an implementation of some state of the art algorithms for tracking or navigation

Required skills or skills to be acquired:

  • proficiency in english
  • basic understanding of computer vision
  • basic understanding of filtering techniques
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 January 2015
Students: 1 - 2
CFU: 10 - 20
Research Area: Robotics
Research Topic: None



Title: Simulation of 6-DOF Robot Manipulator
Puma6dof1.jpg
Description: The goal of this project is to develop a simulator for a 6-DOF robot manipulator, using the ode (open dynamics engine) library for simulating the rigid body dynamics. The project involves three different phases:
  • Building the physical model of the manipulator
  • Implementing the forward and inverse kinematic routines
  • Implementing the trajectory planning routines
  • Implementing the control modules
  • Implementing an interface to control the robot movements

This project allows to put into practice what has been explained during the first part of the course of Robotics.

The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.

Tutor: Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)
Start: Anytime
Number of students: 2-3
CFU: 10-15



Title: Calibration of IMU-camera system
Imu cam big sphere.gif
Description: This work is about the problem to calibrate a system composed by an XSense

Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on the problem to estimate both unknown rotation between the two devices and the extrinsic/intrinsic parameters of the camera. This algorithm allows to use the system for SLAM or robotics applications, like a wereable device for autonomous navigation or augmented reality.

Tools and instruments
Matlab/C++
Links
Matlab Toolbox for mutual calibration [6]
List of pubblications[7]
Tutor: Matteo Matteucci, Davide Migliore
Start: Anytime
Number of students: 1
CFU: 5-20



Title: Robot games
Robowii robot.jpg
Description: The goal of this activity is to develop an interactive game with robots using commercial devices such as the WII Mote (see the Robogames page)

Projects are available in different areas:

  • Design and implementation of the game on one of the available robots and extension of the robot functionalities
  • Design and implementation of the game and a new suitable robot
  • Evaluation of the game with users (in collaboration with Franca Garzotto)

These projects allow to experiment with real mobile robots and real interaction devices.

Parts of these projects can be considered as course projects. These projects can also be extended to cover course projects.

Tutor: Andrea Bonarini (bonarini-AT-elet-DOT-polimi-DOT-it)
Start: Anytime
Number of students: 1-2
CFU: 7.5-12.5



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