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Previous     Results 41– 52    Next        (20 | 50 | 100 | 250 | 500)
Wiki Page: Simulation in robotics using UDK USARSIM
P3AT.png
Title: Simulation_in_robotics_using_UDK_USARSIM
Description: USARSim (Unified System for Automation and Robot Simulation) is a high-fidelity simulation of robots and environments based on UDK (Unreal Development Kit), the free edition of the Unreal Engine 3 game engine. It is intended as a research tool and is the basis for the RoboCup Rescue Virtual Robot Competition.

The proposed project is aimed at extending USARSim along two directions:

  • Development of a tool for automatically generating realistic 3D worlds for robot testing. This task involves work on 3D game modelling and development using the UDK engine.
  • Create test arenas and perform experiment in USARSim. Simulation tools as USARSim are powerful tools for robotics, but in order to consider the results obtained in a virtual environment also valid in the real case, simulated environments must be validated through experiments performed both in virtually and with real robots.

Results will be included in the USARSim project and used by the RoboCup community.

Tutor: [[FrancescoAmigoni | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[MatteoLuperto | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[AlbertoQuattriniLi | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 April 2014
Students: 1 - 2
CFU: 10 - 20
Research Area: Robotics
Research Topic: RoboCup Rescue

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: 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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), [[RiccardoTasso | ]] (, , , , , , , , , , , , , , , , , , … 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: Stability and motion control of a balancing robot
Proposta tiltone.png
Title: Stability and motion control of a balancing robot
Description: This project is focused on the control of both stability and motion of TiltOne, a balancing robot.

TiltOne is a robot with only two wheels that can stand in vertical position following an unstable equilibrium point. The control is applied by commanding an amount of torque to the wheels, allowing the robot to mantain it's gravity center vertical aligned to the wheel axis.

The aim of the project proposal is to implement and compare different control solutions, based on classical approach (as PID and LQR control) and Machine Learning approach (as Reinforcement Learning control policies), that allow the robot to move following a given trajectory at a given speed.

Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[MartinoMigliavacca | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 March 2010
Students: 1 - 2
CFU: 5 - 20
Research Area: Robotics
Research Topic: Robot development

Wiki Page: Statistical inference for phylogenetic trees
Toloverview.jpg
Title: Statistical inference for phylogenetic trees
Description: The project will focus on the study, implementation, comparison, and analysis of different statistical inference techniques for phylogenetic trees. Phylogenetic trees (1, 2, 3) are evolutionary trees used to represent the relationships between different species with a common ancestor. Typical inference tasks concern the construction of a tree starting from DNA sequences, involving both the choice of the topology of the tree (i.e., model selection) and the values of the parameters (i.e., model fitting). The focus will be a probabilistic description of the tree, given by the introduction of stochastic

variables associated to both internal nodes and leaves of the tree.

The project will focus on the understanding of the problem and on the implementation of different algorithms, so (C/C++ or Matlab or R) coding will be required. Since the approach will be based on statistical models, the student is supposed to be comfortable with notions that come from probability and statistics courses.

The project is thought to be extended to master thesis, according to interesting and novel directions of research that will emerge in the first part of the work. Possible ideas may concern the proposal and implementation of new algorithms, based on recent approaches to phylogenetic inference available in the literature, as in (3) and (4). In this case the thesis requires some extra effort in order to build and consolidate some background in math in oder to understand some recent literature, especially in (mathematical) statistics and, for example, in the emerging field of algebraic statistics (5).

Other possible novel applications of phylogenetic trees have been proposed in contexts different from biology, as in (6). Malware (malicious software) is software designed to infiltrate a computer without the owner's informed consent. Often malwares are related to previous programs thought evolutionary relationships, i.e., new malwares appear as small mutations of previous softwares. We are interested in the use of techniques from phylogenetic trees to create a taxonomy of real world malwares.

Picture taken from http://www.tolweb.org/tree/ and http://www.blogscienze.com

Bibliography

  1. Felsenstein 2003: Inferring Phylogenies
  2. Semple and Steel 2003: Phylogenetics: The mathematics of phylogenetics
  3. Louis J. Billera, Susan P. Holmes and and Karen Vogtmann Geometry of the space of phylogenetic trees. Advances in Applied Math 27, 733-767 (2001)
  4. Evans, S.N. and Speed, T.P. (1993). Invariants of some probability models used in phylogenetic inference. Annals of Statistics 21, 355-377.
  5. Lior Pachter, Bernd Sturmfels 2005, Algebraic Statistics for Computational Biology.
  6. A. Walenstein, E-Md. Karim, A. Lakhotia, and L. Parida. Malware Phylogeny Generation Using Permutations of Code, Journal in Computer Virology, v1.1, 2005.
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[LuigiMalago | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[StefanoZanero | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Machine Learning
Research Topic: Information Geometry, Stocastic Optimization, Evolutionary Computation

Wiki Page: Tesi/Stage in Milestone
Milestone.jpg
Title: Tesi/Stage in Milestone
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++

Per maggiori informazioni, inviare una mail a lanzi@elet.polimi.it

Comportamenti di Gruppo in Videogiochi di Corse Automobilistiche

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.

Comportamenti di Gruppo in Videogiochi di Corse Motociclistiche

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.

Intelligenza Artificiale in Videogiochi di Corse Motociclistiche

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.

Tutor: [[PierLucaLanzi | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 18 November 2009
Students: 1 - 3
CFU: 5 - 20
Research Area: Computational Intelligence and Games

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

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: Visual Odometry for an Omni-directional Camera
OmnidirectionalOdometry.png
Title: Visual Odometry for an Omni-directional Camera
Description: An omnidirectional camera can acquire panoramic views of the surrounding environment. The purpose of this thesis is to design, develop, and test an odometric system (odometry = measurement of the path) based on the images taken by an omnidirectional camera during motion. The reference paper to start from is (Taddei, Ferran, Caglioti. IJCV 2012) and the result should be able to extract “feature points” from the images, match them in a robust way, and then apply the machinery for visual odometry on the resulting set of correspondences. A calibration procedure for the system should be provided together with an experimental validatio of the resulting system.
  • Pierluigi Taddei, Ferran Espuny, Vincenzo Caglioti: Planar Motion Estimation and Linear Ground Plane Rectification using an Uncalibrated Generic Camera. International Journal of Computer Vision 96(2): 162-174 (2012)

Material:

  • reference paper to start from and reference datasets
  • C++ library for extraction and manipulation of features (OpenCV)

Expected outcome:

  • working system able to perform visual odometry using an omnidirectional camera

Required skills or skills to be acquired:

  • computer vision and 3D reconstruction
Tutor: [[VincenzoCaglioti | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 April 2012
Students: 1 - 2
CFU: 10 - 20
Research Area: Computer Vision and Image Analysis
Research Topic: None

Wiki Page: Visual stabilization techniques for tracking with a moving camera
ImageStabilization.jpg
Title: Visual stabilization techniques for tracking with a moving camera
Description: Target tracking in video sequences can suffer poor performances if the camera is moving (e.g, wind, hand held device, aerial tracking system). The aim of the project is to investigate the state of the art in image stabilization and registration in non static or cluttered scenes. Possible ideas to be investigated include: homography tracking or smoothing, 3D camera motion estimation, image registration and mosicing. As a by product of the work, a tool for the performance evaluation of image stabilization algorithms should be designed.

Material

  • a huge corpus of literature on the topic
  • datasets to test the approach upon
  • C++ library for image processing and computer vision (OpenCV)

Expected outcome:

  • software for the stabilization of videos from a moving camera showing moving objects in cluttered environments
  • a tool for the objective evaluation of image stabilization algorithms

Required skills or skills to be acquired:

  • computer vision and 3D reconstruction
  • 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: Computer Vision and Image Analysis
Research Topic: None

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

Wiki Page: Wikipedia Tripartite Graph
Title: Wikipedia Tripartite Graph
Description: When a user edits a Wikipedia page, we can establish a link among her, the page and the categories to which the page belongs. A model to represent this information is a tripartite graph. Aim of this project is to build a tripartite graph from Wikipedia users, pages and categories, and mine the outcome network to extract emergent semantics.
Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 20 - 20
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis, Semantic Tagging

warning.png"Agents, Multiagent Systems, Agencies" is not in the list of possible values (Affective Computing, Agents - Multiagent Systems - Agencies, BioSignal Analysis, Computational Intelligence and Games, Computer Vision and Image Analysis, E-Science, Machine Learning, Philosophy of Artificial Intelligence, Robotics, Social Software and Semantic Web) for this property.
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