Semantic search
Wiki Page: Designing Living Objects Title: Designing Living Objects |
Wiki Page: Detecting patterns in ontology usage Title: Detecting patterns in ontology usage |
Wiki Page: Driving an autonomous wheelchair with a P300-based BCI Title: Driving an autonomous wheelchair with a P300-based BCI |
Wiki Page: Electromagnetic kicker for middle-size RoboCup soccer robots Title: Electromagnetic kicker for middle-size RoboCup soccer robots 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. Tutor: LuigiMalago, MarcelloRestelli, MartinoMigliavacca |
Wiki Page: Embedded registers view plug-in for Eclipse Title: Embedded registers view plug-in for Eclipse 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. |
Wiki Page: Exploratory data analysis by genetic feature extraction Title: Exploratory data analysis by genetic feature extraction
Tutor: MatteoMatteucci |
Wiki Page: Extended Kalman Filtering on Manifolds Title: Extended Kalman Filtering on Manifolds
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Tutor: MatteoMatteucci, SimoneCeriani, DavideCucci |
Wiki Page: Extending a search engine with semantic information Title: Extending a search engine with semantic information 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". |
Wiki Page: Facebook automatic list suggestion Title: Facebook Automatic List Suggestion |
Wiki Page: Flying machine Title: design of a bird-wing-based flying machine |
Wiki Page: Human-Like AI in Games Title: Human-Like AI in Games
Tutor: DanieleLoiacono |
Wiki Page: Information geometry and machine learning Title: Information geometry and machine learning 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
Tutor: MatteoMatteucci, LuigiMalago |
Wiki Page: LARS and LASSO in non Euclidean Spaces Title: LARS and LASSO in non Euclidean Spaces 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
Tutor: MatteoMatteucci, LuigiMalago |
Wiki Page: LCM middleware on embedded platform Title: LCM middleware on embedded platform The project consists in:
The projects has to be developed in ANSI C, and experience with embedded platforms is a plus. |
Wiki Page: Mesh Refinement with Deep Learning Title: Mesh Refinement with Deep Learning |
Wiki Page: Mining wikipedia categories Title: Wikipedia category map |
Wiki Page: MoonSLAM Reengineering Title: Reengineering of a flexible framework for simultaneous localization and mapping Material
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Tutor: MatteoMatteucci |
Wiki Page: Multimodal GUI for driving an autonomous wheelchair Title: Multimodal GUI for driving an autonomous wheelchair
Tutor: MatteoMatteucci, SimoneCeriani, DavideMigliore |
Wiki Page: Odometric system based on circular points Title: An odometric sensor based on circular points Material:
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Tutor: VincenzoCaglioti |
Wiki Page: Odometric system for robots based on laser mice Title: Odometric system for robots based on laser mice 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. |
Wiki Page: P300 BCI Title: P300 BCI for ALS patient |
Wiki Page: Poit cloud SLAM with Microsoft Kinect Title: Point cloud SLAM with Microsoft Kinect Material:
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Tutor: MatteoMatteucci |
Wiki Page: R2P IMU firmware development Title: Embedded Inertial Measurement Unit for Unmanned Aerial Vehihcles
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Tutor: AndreaBonarini, MartinoMigliavacca, MatteoMatteucci |
Wiki Page: ROS navigation local planner Title: ROS_navigation_local_planner |
Wiki Page: Real-time removal of ocular artifact from EEG Title: Real-time removal of ocular artifact from EEG
Tutor: MatteoMatteucci |
Wiki Page: Robocentric MoonSLAM Title: Robocentric implementation in the MoonSLAM framework Material
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Tutor: MatteoMatteucci, SimoneCeriani |
Wiki Page: Robot Games Title: Robot Games |
Wiki Page: Scan Matching Odometry and Multisensor SLAM Title: Scan Matching Odometry and Multisensor SLAM Material:
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Tutor: MatteoMatteucci, SimoneCeriani, DavideCucci |
Wiki Page: Scripting language on embedded platforms Title: Scripting language on embedded platforms 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. |
Wiki Page: Self calibration of multiple odometric sensors Title: Self calibration of multiple odometric sensors mounted on the same platform Material:
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Tutor: MatteoMatteucci, SimoneCeriani, DavideCucci |
Wiki Page: Simulation in robotics using UDK USARSIM Title: Simulation_in_robotics_using_UDK_USARSIM
Results will be included in the USARSim project and used by the RoboCup community. |
Wiki Page: Soccer Robots Title: Soccer Robots
The project can be turned into a thesis by facing different problems in depth. |
Wiki Page: Social Network Data Extraction from Online Communities Title: Social Network Data Extraction From Online Communities |
Wiki Page: Stability and motion control of a balancing robot Title: Stability and motion control of 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. |
Wiki Page: Statistical inference for phylogenetic trees Title: Statistical inference for phylogenetic trees 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
Tutor: MatteoMatteucci, LuigiMalago, StefanoZanero |
Wiki Page: Tesi/Stage in Milestone Title: Tesi/Stage in Milestone 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. |
Wiki Page: Unmanned Aerial Vehicles Visual Navigation Title: A critical review on the state of the art in visual navigation for unmanned aerial vehicles Material:
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Tutor: MatteoMatteucci |
Wiki Page: Use case design and implementation for semantic annotations Title: Use case design and implementation for semantic annotation 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/ |
Wiki Page: Visibility Rating under Foggy Conditions Title: Visibility Rating under Foggy Conditions |
Wiki Page: Visual Odometry for an Omni-directional Camera Title: Visual Odometry for an Omni-directional Camera
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Tutor: VincenzoCaglioti |
Wiki Page: Visual stabilization techniques for tracking with a moving camera Title: Visual stabilization techniques for tracking with a moving camera Material
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Tutor: MatteoMatteucci |
Wiki Page: Wikipedia Page Social Network Title: Wikipedia Page Social Network |
Wiki Page: Wikipedia Tripartite Graph Title: Wikipedia Tripartite Graph |
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