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Wiki Page: 3D Scene Understanding Title: 3D Indoor scene understanding and layout reconstruction for a mobile robot in collaboration with UnimiB Methods for indoor layout reconstruction must be significantly more tolerant to missing data than their outdoor counterparts, since environments such as offices and apartments exhibit extremely high levels of clutter, which typically results in heavy occlusions of walls and other structures of interest, large-scale artifacts, noise and missing data. The proposed work will be developed in collaboration with IRALAB, the Robotics Lab of University of Milano Bicocca. The work will be based on an existing project, Free Your Camera (http://www.ira.disco.unimib.it/research/robotic-perception-research/free-your-camera-3d-indoor-scene-understanding-from-arbitrary-camera-motion/) and will be part of a robotic framework based on with ROS and in development at IRALAB. |
Wiki Page: A firefox extension for semantic annotations Title: A Firefox extension for semantic annotations |
Wiki Page: AI in Racing Games Title: AI in Racing Games
Tutor: DanieleLoiacono |
Wiki Page: Accurate AR Marker Location Title: C++ Library for accurate marker location based on subsequent pnp refinements
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Tutor: MatteoMatteucci |
Wiki Page: Annotation aggregators from social applications Title: Annotation aggregators from social applications |
Wiki Page: Aperiodic visual stimulation in a VEP-based BCI Title: Aperiodic visual stimulation in a VEP-based BCI
Tutor: MatteoMatteucci |
Wiki Page: Autistic Children Play Robot Title: Autistic Children Play Robot |
Wiki Page: Automatic Content Generation in Computer Games Title: Automatic Content Generation in Computer Games
Tutor: DanieleLoiacono |
Wiki Page: Automatic Differentiation Techniques for Real Time Kalman Filtering Title: Evaluation of Automatic Differentiation Techniques for Gauss-Newton based Simultaneous Localization and Mapping Material
Expected outcome: New modules implementations based on automatic differentiation A comparison between the old stuff and new approach Required skills or skills to be acquired:
Tutor: MatteoMatteucci |
Wiki Page: Automatic generation of domain ontologies Title: Automatic generation of domain ontologies |
Wiki Page: Barking Robots Title: Barking Robots The robot first exhibition has been at Robotica 2009, within HI-Tech Expo at Fiera di Milano, on November 23-25, 2009. Here, the robot had to go around in an area delimited by a white stripe and contact verbally and with gestures people entering the area, in order to attract them to the booth. Behaviors and gestures have still to be developed to come to an interesting and robust demo at next Robotica, or at other ehibits (e.g. at the Museo della Scienza of Milan). |
Wiki Page: Behavior recognition from visual data Title: Behavior recognition from visual data
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Tutor: MatteoMatteucci, AndreaBonarini |
Wiki Page: BringMeHome Title: BringMeHome |
Wiki Page: CAN Bus bootloader for STM32 microcontrollers Title: CAN Bus bootloader for STM32 microcontrollers This project aims to develop a CAN bus bootloader for STM32 ARM Cortex-M3 microcontrollers, and eventually for other architectures. |
Wiki Page: Cognitive SLAM Title: Cognitive SLAM |
Wiki Page: Combinatorial optimization based on stochastic relaxation Title: Combinatorial optimization based on stochastic relaxation The focus will be on the implementation of a new algorithm able to combine different approaches (estimation and sampling, from one side, and exploitation of prior knowledge about the structure of problem, on the other), together with the comparison of the results with existing techniques that historically appear in different (and often separated) communities. Good coding (C/C++) abilities are 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 could require some extra effort in order to build and consolidate some background in math, especially in Bayesian statistics and MCMC techniques, such as Gibbs and Metropolis samplers (4). The project can 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 of new algorithms able to learn existing dependencies among the variables in the function to be optimized, and exploit them in order to increase the probability to converge to the global optimum. Picture taken from http://www.ra.cs.uni-tuebingen.de/ Bibliography
Tutor: MatteoMatteucci, LuigiMalago |
Wiki Page: Combining Estimation of Distribution Algorithms and other Evolutionary techniques for combinatorial optimization Title: Combining Estimation of Distribution Algorithms and other Evolutionary techniques for combinatorial optimization The focus will be on the implementation of new hybrid algorithms able to combine estimation of distribution algorithms with different approaches available in the evolutionary computation literature, such as genetic algorithms and evolutionary strategies, together with other local search techniques. Good coding (C/C++) abilities are required. Some background in combinatorial optimization form the "Fondamenti di Ricerca Operativa" is desirable. The project could require some effort in order to build and consolidate some background in MCMC techniques, such as Gibbs and Metropolis samplers (4). The project could be extended to master thesis, according to interesting and novel directions of research that will emerge in the first part of the work. Computer vision provides a large number of optimization problems, such as new-view synthesis, image segmentation, panorama stitching and texture restoration, among the others, (6). One common approach in this context is based on the use of binary Markov Random Fields and on the formalization of the optimization problem as the minimum of an energy function expressed as a square-free polynomial, (5). We are interested in the proposal, comparison and evaluation of different Estimation of Distribution Algorithms for solving real world problems that appear in computer vision. Pictures taken from http://www.genetic-programming.org and (6) Bibliography
Tutor: MatteoMatteucci, LuigiMalago |
Wiki Page: Comparison of State of the Art Visual Odometry Systems Title: A Comparison of State of the Art Visual Odometry Systems (Monocular and Stereo) Material
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Tutor: MatteoMatteucci |
Wiki Page: Creation of new EEG training by introduction of noise Title: Creation of new EEG training by introduction of noise
Tutor: MatteoMatteucci |
Wiki Page: Data Mining in Computer Games Title: Data Mining in Computer Games
Tutor: DanieleLoiacono |
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