First Level Theses - Revision history

BernardoDalSeno: /* Brain-Computer Interface */

2009-10-29T22:30:56Z

‎Brain-Computer Interface

DanieleLoiacono: /* Computational Intelligence and Games */

2009-10-29T18:55:48Z

‎Computational Intelligence and Games

DanieleLoiacono: /* Computational Intelligence and Games */

2009-10-29T18:45:46Z

‎Computational Intelligence and Games

LuigiMalago: /* Robotics */

2009-10-22T11:06:34Z

‎Robotics

LuigiMalago: /* Robotics */

2009-10-22T11:05:58Z

‎Robotics

DanieleLoiacono: /* Computational Intelligence and Games */

2009-10-01T21:32:10Z

‎Computational Intelligence and Games

DanieleLoiacono: /* Machine Learning */

2009-10-01T21:31:32Z

‎Machine Learning

DavidLaniado: /* Social Software and Semantic Web */

2009-09-11T17:16:59Z

‎Social Software and Semantic Web

DavidLaniado: /* Social Software and Semantic Web */

2009-07-17T14:48:29Z

‎Social Software and Semantic Web

BernardoDalSeno: Brain-Computer Interface: removed p300 repetions project

2009-06-30T14:10:39Z

Brain-Computer Interface: removed p300 repetions project

@@ Line 8: / Line 8: @@
 {{Project template
 |title=Real-time removal of ocular artifact from EEG
-|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.
@@ Line 24: / Line 24: @@
 {{Project template
 |title=Driving an autonomous wheelchair with a P300-based BCI
-|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=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.
@@ Line 42: / Line 42: @@
 {{Project template
 |title=Reproduction of an algorithm for the recognition of error potentials
-|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=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.

@@ Line 83: / Line 83: @@
 template = Template:ProjectProposalViz
 }}
 ==== Social Software and Semantic Web ====

← Older revision		Revision as of 18:45, 29 October 2009
Line 64:		Line 64:

	==== Computational Intelligence and Games ====		==== Computational Intelligence and Games ====
		+
		+	{{#ask: [[Category:ProjectProposal]]
		+	[[PrjResTopic::Computational Intelligence and Games]]
		+	[[PrjLevel::Bs]]
		+	[[PrjType::Thesis]] \|
		+	?PrjTitle \|
		+	?PrjImage \|
		+	?PrjDescription \|
		+	?PrjTutor \|
		+	?PrjStarts \|
		+	?PrjStudMin \|
		+	?PrjStudMax \|
		+	?PrjCFUMin \|
		+	?PrjCFUMax \|
		+	?PrjResArea \|
		+	?PrjResTopic \|
		+	format = template \|
		+	template = Template:ProjectProposalViz
		+	}}
		+

	{{Project template		{{Project template

@@ Line 158: / Line 158: @@
 ==== Robotics ====
 {{Project template
 |title=Simulation of 6-DOF Robot Manipulator

@@ Line 135: / Line 135: @@
 <!--==== Philosophy of Artificial Intelligence ====
 -->
 ==== Robotics ====

@@ Line 76: / Line 76: @@
 |start=Anytime
 |number=1 to 2
-|cfu=20
+|cfu=5-20
 |image=TORCS2.jpg}}
@@ Line 89: / Line 89: @@
 *[http://cig.dei.polimi.it/ CIG@PoliMI]
 *[http://julian.togelius.com/Togelius2007Towards.pdf J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games]
-:[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&R Lab Projects]
+*[http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf Daniele Loiacono's AI&R Lab Projects]
 |start=Anytime
 |number=1 to 2
-|cfu=20
+|cfu=5-20
 |image=gar.jpg}}
@@ Line 108: / Line 108: @@
 |start=Anytime
 |number=1 to 2
-|cfu=20
+|cfu=5-20
 |image=UT2004.png}}

@@ Line 63: / Line 63: @@
 -->
-==== Machine Learning ====
+==== Computational Intelligence and Games ====
 {{Project template
-|title= Learning API for TORCS
+|title= AI in Racing Games
 |tutor= Daniele Loiacono (loiacono-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. 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.
+|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.
-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.
+;References
 |start=Anytime
 |number=1 to 2
-|cfu=5 to 12.5
+|cfu=20
-|image=TORCS.jpg}}
-−
-{{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
-|title= SmarTrack
+|title= Automatic Content Generation in Computer Games
 |tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)
-|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.
+|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.
-The goal of this project is to apply machine learning techniques for the generation of customized tracks in
+Picutre taken from [http://gar.eecs.ucf.edu/]
-[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.
+;references
 |start=Anytime
 |number=1 to 2
-|cfu=5 to 12.5
+|cfu=20
-|image=TORCS3.jpg}}
+|image=gar.jpg}}
 {{Project template
-|title= TORCS competition
+|title= Human-Like AI in Games
 |tutor= Daniele Loiacono (loiacono-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.
+|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.
-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])
+Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS.
 |start=Anytime
 |number=1 to 2
-|cfu=5 to 12.5
+|cfu=20
-|image=TORCS.jpg}}
+|image=UT2004.png}}
-−
 ==== Social Software and Semantic Web ====

@@ Line 108: / Line 108: @@
 {{#ask: [[Category:ProjectProposal]]
-[[PrjResArea::Social Software and Semantic Web]] |
+[[PrjResArea::Social Software and Semantic Web]]
 ?PrjTitle |
 ?PrjImage |