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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
Level: Bachelor of Science, Master of Science
Type: Thesis, Course

Wiki Page: Detecting patterns in ontology usage
Title: Detecting patterns in ontology usage
Description: When building a new knowledge base the reuse of existing, well known vocabularies is often desirable. However, sometimes it is not clear which ontology should be preferable or which term is best suited for a specific application. Aim of this project is to detect patterns in ontology usage by harvesting ontologies which use a given schema (i.e. Foaf or Dublin Core) and analysing how people are using them in practice. The resulting application should download ontologies from the main semantic search engines (such as http://watson.kmi.open.ac.uk/ and http://sindice.com/), parse them and calculate statistics about the terms used inside them. The tool should show these statistics, save them in an appropriate format and make them available through an API for use by external applications.
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
Level: Master of Science
Type: Course, Thesis

Wiki Page: Driving an autonomous wheelchair with a P300-based BCI
LURCH wheelchair.jpg
Title: Driving an autonomous wheelchair with a P300-based BCI
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. Depending on the effort the student is willing to put into it, the project can grow to a full experimental thesis.
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 November 2008
Students: 1
CFU: 5 - 20
Research Area: BioSignal Analysis
Research Topic: Brain-Computer Interface
Level: Bachelor of Science, Master of Science
Type: Course

Wiki Page: Electromagnetic kicker for middle-size RoboCup soccer robots
Kicker.jpg
Title: Electromagnetic kicker for middle-size RoboCup soccer robots
Description: The Milan RoboCup Team, a team of soccer robots that play in the Middle Size league of RoboCup (1) employs as kicker an electromagnetic device entirely designed within the AIRLab with external collaborations such as the Energetic department at Politecnico di Milano and the Electronics section at DEI. Basically, the device consists of a solenoid, a capacitor and a PIC-based board that controls (through an external integrated circuit) the charge of the capacitor at 400V (using the 24V batteries of the robot) and the generation of the magnetic field in the solenoid. The magnetic field accelerates a metallic cylinder that hits the soccer ball.

The aim of the project is to design, implement, test, and evaluate a new version of the device. While the charge phase, implemented by an ad-hoc IC controlled by the PIC, is quite efficient, some work has to be done in order to design a new solenoid and improve the way the PIC implements a sort of modulation of strength of the shoot, in order to implement small passages between robots. The final purpose is to improve the efficiency of the system, with the aim of minimize the energy consumed and maximize the energy transmitted to the ball, in order to obtain more powerful shots.

The first part of the project is focused on some theoretical aspects in order to understand the current design and evaluate how to improve it, while the second phase will be focused on the implementation and test of a new prototype of the kicking device. Experience with PIC-based systems is a plus, but not required, while some experience with electronics circuits is highly recommended. Students are supposed to work in the lab following a set of safety guidelines and rules with circuits at 400V, with 10A pick current during charge phase, and even more during shots. Student from electronics engineering are really welcomed to choose this project.

  1. http://www.er.ams.eng.osaka-u.ac.jp/robocup-mid/index.cgi
Tutor: [[LuigiMalago | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[MartinoMigliavacca | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 5
Research Area: Robotics
Research Topic: Milan Robocup Team
Level: Master of Science
Type: Course

Wiki Page: Embedded registers view plug-in for Eclipse
STM32-H103-1.jpg
Title: Embedded registers view plug-in for Eclipse
Description: JOINT PROJECT with the Embedded Systems group (contact: Patrick Bellasi http://home.dei.polimi.it/bellasi/)

When developing embedded applications it is frequently needed to look at *hardware register content* in order to *debug the code*. All commercial development suites offer register views that show their contents as well as the meaning of each bit. Open source development solutions currently lack this feature, meaning that you have to look to the correct memory location and map the content to the corresponding register bits manually. This seems to be one of the most limiting issues when developing embedded application using open source solutions.

This project aims to fill this gap, developing an Eclipse plug-in that shows the register contents in a tree viewer, like most commercial suites do.

Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[MartinoMigliavacca | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 30 May 2011
Students: 1 - 2
CFU: 2 - 5
Research Area: Robotics
Research Topic: Robot development
Level: Bachelor of Science, Master of Science
Type: Course

Wiki Page: Environment Monitoring
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Title: Environment Monitoring
Description: The goal of this project is to develop a video surveillance system to track in 3D vehicles or people.

The idea is to use one or more calibrated camera to estimate the position and the trajectories of the moving objects in the scene. The skills required for this project are:

  • C/C++ and OpenCV library
  • Linux o.s.
  • Geometry/Image processing
  • Probabilistic robotics/IMAD
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 2 - 3
CFU: 10 - 15
Research Area: Computer Vision and Image Analysis
Type: Course

Wiki Page: Exploratory data analysis by genetic feature extraction
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Title: Exploratory data analysis by genetic feature extraction
Description: Understanding the waves in EEG signals is an hard task and psicologists often need automatic tools to perform this task. In this project we are interested in using a genetic algorithm developed for P300 feature extraction in order to extract useful informations from Error Potentials. The project is a collaboration with the psicology department od Padua University.
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: BioSignal Analysis
Research Topic: Brain-Computer Interface
Level: Master of Science
Type: Course, Thesis

Wiki Page: Extended Kalman Filtering on Manifolds
SE3 Manifold.jpg
Title: Extended Kalman Filtering on Manifolds
Description: Extended Kalman filtering is a well known technique for the estimation of the state of a dynamical system also used in robotics for localization and mapping. However in the basic formulation it assumes all variables to live in an Euclidean space while some components may span over the non-Euclidean 2D or 3D rotation group SO(2) or SO(3). It is thus possible to write tha Extended Kalman filter to operate on Lie Groups to take into account the presence of manifolds (http://www.ethaneade.org/latex2html/lie/lie.html). We are interestend in investigation this further applying it to the EKF-SLAM framework we have developed.

Material:

  • papers about Manifold based optimization and space representations
  • C++ framework for EKF-SLAM

Expected outcome:

  • An extended Kalman filter which uses this new representation

Required skills or skills to be acquired:

  • Good mathematical background
  • C++ programming under Linux
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[SimoneCeriani | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[DavideCucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 April 2012
Students: 1 - 2
CFU: 20 - 20
Research Area: Robotics
Research Topic: None
Level: Master of Science
Type: Thesis

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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), [[MarcoColombetti | ]] (, , , , , , , , , , , , , , , , , , … 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
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

Wiki Page: Facebook automatic list suggestion
Facebook-app.png
Title: Facebook Automatic List Suggestion
Description: In Facebook each user can create lists of friends (for example: "high school","university","tennis") to better filter information and manage privacy.

Goal of this project is to develop a Facebook application to analyze a user's network of friends and automatically detect groups to suggest lists.

Tutor: [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[RiccardoTasso | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students: 1 - 2
CFU: 5 - 10
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis
Level: Bachelor of Science, Master of Science
Type: Course

Wiki Page: Flying machine
Flying machine.jpg
Title: design of a bird-wing-based flying machine
Description: goal of this project is to design and develop bird-like artificial wings for a simple prototype of a machine that can fly, carrying one or more persons
Tutor: [[LeonardoDaVinci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start:
Students:
CFU:
Research Topic: Flying Machines
Level: Bachelor of Science
Type: Course

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
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

Wiki Page: Information geometry and machine learning
Manifold.jpg
Title: Information geometry and machine learning
Description: In machine learning, we often introduce probabilistic models to handle uncertainty in the data, and most of the times due to the computational cost, we end up selecting (a priori, or even at run time) a subset of all possible statistical models for the variables that appear in the problem. From a geometrical point of view, we work with a subset (of points) of all possible statistical models, and the choice of the fittest model in out subset can be interpreted as a the point (distribution) minimizing some distance or divergence function w.r.t. the true distribution from which the observed data are sampled. From this perspective, for instance, estimation procedures can be considered as projections on the statistical model and other statistical properties of the model can be understood in geometrical terms. Information Geometry (1,2) can be described as the study of statistical properties of families of probability distributions, i.e., statistical models, by means of differential and Riemannian geometry.

Information Geometry has been recently applied in different fields, both to provide a geometrical interpretation of existing algorithms, and more recently, in some contexts, to propose new techniques to generalize or improve existing approaches. Once the student is familiar with the theory of Information Geometry, the aim of the project is to apply these notions to existing machine learning algorithms.

Possible ideas are the study of a particular model from the point of view of Information Geometry, for example as Hidden Markov Models, Dynamic Bayesian Networks, or Gaussian Processes, to understand if Information Geometry can give useful insights with such models. Other possible direction of research include the use of notions and ideas from Information Geometry, such as the mixed parametrization based on natural and expectation parameters (3) and/or families of divergence functions (2), in order to study model selection from a geometric perspective. For example by exploiting projections and other geometric quantities with "statistical meaning" in a statistical manifold in order to chose/build the model to use for inference purposes.

Since the project has a theoretical flavor, mathematical inclined students are encouraged to apply. The project requires some extra effort in order to build and consolidate some background in math, partially in differential geometry, and especially in probability and statistics.

Bibliography

  1. Shun-ichi Amari, Hiroshi Nagaoka, Methods of Information Geometry, 2000
  2. Shun-ichi Amari, Information geometry of its applications: Convex function and dually flat manifold, Emerging Trends in Visual Computing (Frank Nielsen, ed.), Lecture Notes in Computer Science, vol. 5416, Springer, 2009, pp. 75–102
  3. Shun-ichi Amari, Information geometry on hierarchy of probability distributions, IEEE Transactions on Information Theory 47 (2001), no. 5, 1701–1711.
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[LuigiMalago | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 20 - 20
Research Area: Machine Learning
Research Topic: Information Geometry
Level: Master of Science
Type: Course, Thesis

Wiki Page: LARS and LASSO in non Euclidean Spaces
Lasso.jpg
Title: LARS and LASSO in non Euclidean Spaces
Description: LASSO (1) and more recently LARS (2) are two algorithms proposed for linear regression tasks. In particular LASSO solves a least-squares (quadratic) optimization problem with a constrain that limits the sum of the absolute value of the coefficients of the regression, while LARS can be considered as a generalization of LASSO, that provides a more computational efficient way to obtain the solution of the regression problem simultaneously for all values of the constraint introduced by LASSO.

One of the common hypothesis in regression analysis is that the noise introduced in order to model the linear relationship between regressors and dependent variable has a Gaussian distribution. A generalization of this hypothesis leads to a more general framework, where the geometry of the regression task is no more Euclidean. In this context different estimation criteria, such as maximum likelihood estimation and other canonical divergence functions do not coincide anymore. The target of the project is to compare the different solutions associated to different criteria, for example in terms of robustness, and propose generalization of LASSO and LARS in non Euclidean contexts.

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 project has also a theoretical flavor, mathematical inclined students are encouraged to apply. The project may require some extra effort in order to build and consolidate some background in math, especially in probability and statistics.

Picture taken from (2)

Bibliography

  1. Tibshirani, R. (1996), Regression shrinkage and selection via the lasso. J. Royal. Statist. Soc B., Vol. 58, No. 1, pages 267-288
  2. Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani, Least Angle Regression, 2003
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 20 - 20
Research Area: Machine Learning
Research Topic: Informtion Geometry
Level: Master of Science
Type: Course, Thesis

Wiki Page: LCM middleware on embedded platform
STM32-H103-1.jpg
Title: LCM middleware on embedded platform
Description: We are developing a framework for rapid prototyping of low-cost robotic systems. To fasten robot design and building, and to make software and hardware reuse easier, a modular architecture is mandatory.

In a context of smart modules that have to cooperate by exchanging data to reach their common goal, the communication protocol and middleware are core components. This project is about the middleware component, a publish/subscribe system that takes care of managing topics, publisher and subscribers, and of marshaling data before sending it. This project aims at porting the LCM marshaling and middleware library, developed at MIT and used in the Grand Challenge competition, to embedded systems, in order to exploit the existing LCM tools and to be compliant with an existing and efficient technology.

The project consists in:

  • stripping non necessary features of LCM to match the constraints of an embedded system and of the communication protocol
  • adding necessary features, like the concept of deadline (and priority as a consequence), that are mandatory for a real time distributed system
  • building a gateway, on an embedded platform, that acts as gateway between the standard-LCM world and the embededd-LCM network

The projects has to be developed in ANSI C, and experience with embedded platforms is a plus.

Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[MartinoMigliavacca | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2011
Students: 1 - 2
CFU: 20 - 20
Research Area: Robotics
Research Topic: Robot development
Level: Master of Science
Type: Thesis

Wiki Page: Mesh Refinement with Deep Learning
Title: Mesh Refinement with Deep Learning
Description: Mesh Refinement with Deep Learning
Tutor: [[AndreaRomanoni | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: October 2018
Students: 1
CFU: 5
Research Area: Computer Vision and Image Analysis
Level: Master of Science
Type: Thesis

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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Start: 7 July 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Social Software and Semantic Web
Research Topic: Semantic Tagging
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

Wiki Page: MoonSLAM Reengineering
SofwareEingineer.jpg
Title: Reengineering of a flexible framework for simultaneous localization and mapping
Description: In the last three years a general framework for the implementation of EKF-SLAM algorithm has been developed at the AIRLab. After several improvements it is now time to redesign it based on the experience cumulated. The goal is to have an international reference framework for the development of EKF based SLAM algorithms with multiple sensors (e.g., lasers, odometers, inertial measurement ) and different motion models (e.g., free 6DoF motion, planar motion, ackerman kinematic, and do on). The basic idea is to implement it by using C++ templates, numerically stable techniques for Kalman filtering and investigation the use of automatic differentiation. It should be possible to seamlessly exchange motion model and sensor model without having to write code beside the motion model and the measurement equation.

Material

  • lots of theoretical background and material
  • an existing (and working) C++ implementation of the framework

Expected outcome:

  • a C++ library for the implementation of generic EKF-SLAM algorithms

Required skills:

  • Experienced C++ programming under Linux
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 January 2015
Students: 1 - 2
CFU: 20 - 20
Research Area: Robotics
Research Topic: None
Level: Master of Science
Type: Thesis

Wiki Page: Multimodal GUI for driving an autonomous wheelchair
LURCH wheelchair.jpg
Title: Multimodal GUI for driving an autonomous wheelchair
Description: This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair (LURCH - The autonomous wheelchair) with a multi modal interface (Speech Recognition, Brain-Computer Interface, etc.), through the development of key software modules. The work will be validated with live experiments.
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[SimoneCeriani | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[DavideMigliore | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 10
Research Area: BioSignal Analysis
Research Topic: Brain-Computer Interface
Level: Bachelor of Science, Master of Science
Type: Course

Wiki Page: Odometric system based on circular points
CircularPoints.jpg
Title: An odometric sensor based on circular points
Description: Development of an odometric sensor based on an uncalibrated camera pointing the floor based on circular points. The system should extend an existing prototype introducing a robust mechanism for tracking of feature points, and by integrating possibly available information about the robot motion.

Material:

  • existing prototypical implementation of the system

Expected outcome:

  • an odometric sensor for planar odometry with uncalibrated camera

Required skills or skills to be acquired:

  • Good mathematical background
  • Backgroundd in computer vision
  • C++ programming under Linux
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
Level: Bachelor of Science, Master of Science
Type: Thesis

Wiki Page: Odometric system for robots based on laser mice
Calibration.png
Title: Odometric system for robots based on laser mice
Description: We developed an odometric system for robots by combining the reading of several laser mice. The system consists of a master PIC-based board and several slave boards where the sensors employed in optical mice are located. The readings are collected on the PIC and sent on the serial port to a PC which elaborates and combines the x and y readings in order to obtain a x,y,theta estimation of the movement of the robot.

The aim of the project is first to improve the current design of the PIC-based board, and realize a new working prototype, and then to implement and evaluate different algorithms able to estimate more precisely the x,y and theta odometric data from the mice readings. Experience with PIC-based systems and some experience with electronics circuits is a plus. Students are supposed to redesign the electronic board, improve the firmware of the PIC, and work on the algorithm that estimates the robot position on the PC. It would be also interesting to evaluate the possibility to embed the optimization and estimation algorithms in the firmware of the PIC in order to produce a stand-alone device.

Ask the tutors of the project for extra material, such as data-sheets and other documentation.

Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[LuigiMalago | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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), [[MarcelloRestelli | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 5 - 20
Research Area: Robotics
Research Topic: Robot development
Level: Master of Science
Type: Course, Thesis

Wiki Page: P300 BCI
Title: P300 BCI for ALS patient
Description: Recovery, integration and adaptation of P300 BCI (hardware and software) stubs to generate a working interface for a speller. The aim is to develop a working prototype for an ALS affected patient.
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 April 2011
Students: 1 - 3
CFU: 2 - 20
Research Area: BioSignal Analysis
Research Topic: EEG analysis, classification algorithms
Level: Master of Science, PhD
Type: Thesis

Wiki Page: Poit cloud SLAM with Microsoft Kinect
PointCloudKinect.jpg
Title: Point cloud SLAM with Microsoft Kinect
Description: Simultaneous Localization and Mapping (SLAM) is one of the basic functionalities required from an autonomous robot. In the past we have developed a framework for building SLAM algorithm based on the use of the Extended Kalman Filter and vision sensors. A recently available vision sensor which has tremendous potential for autonomous robots is the Microsoft Kinect RGB-D sensor. The thesis aims at the integration of the Kinect sensor in the framework developed for the development of a point cloud base system for SLAM.

Material:

  • Kinect sensor and libraries
  • A framework for multisensor SLAM
  • PCL2.0 library for dealing with point clouds

Expected outcome:

  • Algorithm able to build 3D point cloud representation of the observed scene
  • Point clouds processing could be used to improve the accuracy of the filter as well

Required skills or skills to be acquired:

  • Basic background in computer vision
  • Basic background in Kalman filtering
  • C++ programming under Linux
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 January 2015
Students: 1 - 2
CFU: 10 - 20
Research Area: Computer Vision and Image Analysis
Research Topic: None
Level: Master of Science
Type: Thesis

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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), [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 January 2015
Students: 1 - 2
CFU: 2 - 20
Research Area: Robotics
Research Topic: Robot development
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

Wiki Page: ROS navigation local planner
Title: ROS_navigation_local_planner
Description: The project will be focused on the implementation of a planner and tracking algorithms for Ackermann vehicles
Tutor: {{EmailViz|1=[[:User:MatteoMatteucci}}, MatteoMatteucci (), [[]] | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: October 2017
Students: 1 - 3
CFU: 2 - 20
Research Area: Robotics
Research Topic: Local Planner
Level: Master of Science
Type: Thesis

Wiki Page: Real-time removal of ocular artifact from EEG
B bci.jpg
Title: Real-time removal of ocular artifact from EEG
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.
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1 - 2
CFU: 2.5 - 5
Research Area: BioSignal Analysis
Research Topic: Brain-Computer Interface
Level: Bachelor of Science, Master of Science
Type: Course

Wiki Page: Robocentric MoonSLAM
RobocentricSLAM.gif
Title: Robocentric implementation in the MoonSLAM framework
Description: Simultaneous Localization and Mapping (SLAM) is one of the basic functionalities required from an autonomous robot. In the past we have developed a framework for building SLAM algorithm based on the use of the Extended Kalman Filter and vision sensors. The actual implementation of the EKF SLAM in the framework developed uses a world-centric approach, but from the literature it is known that a robocentric approach can provide higher performances on small maps. We would like to have both implementation to compare the results in two scenarios: pure visual odometry, conditional independent submapping.

Material

  • A framework for multisensor SLAM using the world centric approach
  • Papers and report about robocentric slam

Expected outcome:

  • a fully functional robocentric version of the MoonSLAM framework

Required skills or skills to be acquired:

  • Basic background in computer vision
  • Background in Kalman filtering
  • C++ programming under Linux
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 April 2012
Students: 1 - 2
CFU: 20 - 20
Research Area: Robotics
Research Topic: None
Level: Master of Science
Type: Thesis

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
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

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
Level: Bachelor of Science, Master of Science
Type: Thesis

Wiki Page: Scripting language on embedded platforms
STM32-H103-1.jpg
Title: Scripting language on embedded platforms
Description: JOINT PROJECT with the Embedded Systems group (contact: Patrick Bellasi http://home.dei.polimi.it/bellasi/)

When developing embedded applications it is common the need to test some algorithm in some fast way, without to re-program the whole firmware every time. PAWN (http://www.compuphase.com/pawn/) is a *simple and lightweight scripting language with a C-like syntax*. Execution speed, stability, simplicity and a small footprint were essential design criteria for both the language and the abstract machine, making PAWN suitable for embedded applications.

This project aims to port the abstract machine to ARM Cortex-M3 microcontrollers, add a set of functions to interface with the underlying hardware peripherals and then to embed it as ChibiOS/RT (http://www.chibios.org) thread.

Tutor: [[AndreaBonarini | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 30 May 2011
Students: 1 - 2
CFU: 2 - 5
Research Area: Robotics
Research Topic: Robot development
Level: Bachelor of Science, Master of Science
Type: Course

Wiki Page: Self calibration of multiple odometric sensors
HandEye.jpg
Title: Self calibration of multiple odometric sensors mounted on the same platform
Description: An odometric sensor measures the path followed by a robot in an incremental way (e.g., wheel mounted encoders, visual odometry, scan matching based odometry, etc.) . Having several odometry sensors mounted on the same platform can significantly improve the accuracy and robustness of the overall system but requires proper calibration of relative positioning and possible biases. We are interested in the development of techniques for the self calibration of a multi sensor based odometry sensor. These techniques could be inspired by classical non-linear optimization techniques used in the hand and eye problem but they could use techniques from Simultaneous Localization and Mapping. According to the setup, some information on the real position of the system may exists (i.e., external tracking system or GPS); the approach should be able to use this information as well.

Material:

  • datasets with real data
  • a few odometric system implementations
  • C++ libraries for non linear optimization

Expected outcome:

  • software for the self calibration of a set of odometry systems mounted on the same robot

Required skills or skills to be acquired:

  • C++ programming under Linux
Tutor: [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 April 2012
Students: 1 - 2
CFU: 20 - 20
Research Area: Robotics
Research Topic: None
Level: Master of Science
Type: Thesis

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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Start: 1 April 2014
Students: 1 - 2
CFU: 10 - 20
Research Area: Robotics
Research Topic: RoboCup Rescue
Level: Master of Science
Type: Thesis

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
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

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
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

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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Start: 1 March 2010
Students: 1 - 2
CFU: 5 - 20
Research Area: Robotics
Research Topic: Robot development
Level: Master of Science
Type: Course, Thesis

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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), [[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
Level: Master of Science
Type: Course, Thesis

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
Level: Bachelor of Science, Master of Science
Type: Thesis

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
Level: Bachelor of Science, Master of Science
Type: Thesis

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
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

Wiki Page: Visibility Rating under Foggy Conditions
IaasFog.png
Title: Visibility Rating under Foggy Conditions
Description: The aim of this project is to try different approaches to evaluate the visibility range under foggy condition using a camera mounted on a car
Tutor: [[VincenzoCaglioti | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: 1 October 2009
Students: 1
CFU: 5
Research Area: Computer Vision and Image Analysis
Research Topic: Vision
Level: Bachelor of Science
Type: Course

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
Level: Bachelor of Science, Master of Science
Type: Thesis

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
Level: Bachelor of Science, Master of Science
Type: Thesis

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
Level: Bachelor of Science, Master of Science
Type: Course, Thesis

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
Level: Master of Science
Type: Thesis

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