Difference between revisions of "First Level Course Projects"

Tools and instruments

C++, C, BCI2000

Linux

Bibliography

R. Blatt et al. Brain Control of a Smart Wheelchair [1]

The project aims at reproducing algorithms for ErrP detection from the literature.

Tools and instruments

Matlab

Bibliography

P.W. Ferrez, J. Millán. You Are Wrong! Automatic Detection of Interaction Errors from Brain Waves [2]

G. Schalk et al. EEG-based communication: presence of an error potential [3]

The skills required for this project are:

• C/C++ and OpenCV library
• Linux o.s.

The project can be turned into a thesis extending the algorithm for camera network.

Such an extension can be partially developed by porting an existing Java API for TORCS that already provides a lot of functionalities for machine learning approaches.

The goal of this project is to apply machine learning techniques for the generation of customized tracks in TORCS, a state-of-the-art open source racing simulator. The project include different activities: the automatic generation of tracks, the section of relevant features to characterize a track and the analysis of an interest measure.

The goal of this project is to apply any machine learning technique to develop a successfull controller following the competition rules (available here)

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.

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.

• Building the physical model of the manipulator
• Implementing the forward and inverse kinematic routines
• Implementing the trajectory planning routines
• Implementing the control modules
• Implementing an interface to control the robot movements

This project allows to put into practice what has been explained during the first part of the course of Robotics.

The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.

Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on the problem to estimate both unknown rotation between the two devices and the extrinsic/intrinsic parameters of the camera. This algorithm allows to use the system for SLAM or robotics applications, like a wereable device for autonomous navigation or augmented reality.

Tools and instruments

Matlab/C++

Links

Matlab Toolbox for mutual calibration [4]

List of pubblications[5]

Projects are available in different areas:

• Design and implementation of the game on one of the available robots
• Design of the game and a new suitable robot
• Implementation/setting of a suitable robot
• Evaluation of the game with users (in collaboration with Franca Garzotto)

These projects allow to experiment with real mobile robots and real interaction devices.

The project can be turned into a thesis by producing a new game and robot.

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.