Add here an entry for each project, please nominate a responsible person for each project.
IOL with Android in the Loop
Responsible: Alessandro Roncone
Participants: Alessandro Roncone, Vadim Tikhanoff, others
Short description: we have recently interfaced Android with YARP. We would like to modify the interactive object learning scenario so that the robot can be controlled with your phone. IOL in the loop, details.
Object Affordances Exploration
Responsible: Francesca Stramandinoli
Participants: Francesca, Francesco N., Ugo, Vadim, Daniele D.
Short description: Build an application that allows the iCub to explore object affordances
Responsible: Nawid Jamali
Participants: Nawid Jamali, Massimo Regoli and Takato Horii
Short description: use iCub's tactile sensors to extract contact-location independent features, explore and grasp an object.
Event-driven iCub development
Responsible: Arren Glover
Participants: Arren, Chiara, Marko, Samantha, Valentina
Short description: use iCub's event driven sensors to perform ball tracking, integrating modules for ego-motion compensation, SpiNNaker attention and face detection.
Responsible: Tobias Fischer
Contributors: T. Fischer, M. Petit, A.-L. Mealier, U. Pattacini, C. Moulin-Frier, J. Puigbo, J. Copete, B. Higy
Short description: The aim is to learn language proactively. There will be different `drives` 1) exploring, 2) triggering questions for labeling unknown objects in the objects properties collector. Pro-active tagging will be triggered because of either an (at the moment) unachievable goal, or because of the drive to explore.
Analysis and Control of iCub joint elasticity
Responsible: Nuno Guedelha Participants: Nuno Guedelha, Daniele Pucci Short description: The goal is to identify the joint flexibility parameters and integrate them in the motion controller, for improving stability and accuracy. For the analysis, validation and performance evaluation, we will focus on the use case of a simple trajectory tracking.