Section: Partnerships and Cooperations

Scientific Collaborations (outside consortium projects)

Collaboration and technological transfer with Laboratoire de Physiologie de la Perception et de l'Action (LPPA)

A collaboration is in progress with Jacques Droulez and Steve Nguyen from Laboratoire de Physiologie de la Perception et de l'Action (LPPA), Paris. Poppy represents for them a humanoid platform very interesting because it is relatively flexible and versatile, with more similar proportions to that of humans, which facilitate comparison with the experimental results obtained in humans. The laboratory will evaluate this platform probabilistic methods of control of balance and locomotion.

In the short term the first experimental project with Poppy will test methods of management support, in the case of restoration of balance, in the case of walking to correct or prepare a change of direction. This project will be initiated in the framework of a long internship of master 2 that starts in January. In the future, we would also like to evaluate motor controllers compliant, and learning algorithms. This collaboration involves Matthieu Lapeyre and Pierre-Yves Oudeyer.

Collaborations with Gipsa-Lab, Laboratoire de Psychologie et de Neurocognition (LPNC) and Laboratoire de Physiologie de la Perception et de l'Action (LPPA)

Clément Moulin-Frier is continuing his collaborative work with people he worked with during his PhD thesis at GIPSA-Lab, LPNC and LPPA. See the section entitled “COSMO (Communicating about Objects using Sensory-Motor Operations): a Bayesian modeling framework for studying speech communication and the emergence of phonological systems” for more information. He is also continuing his collaborative work with people he worked with during his post-doc in 2011 at LPPA. See the section entitled “Probabilistic optimal control: a quasimetric approach” for more information.

Collaboration with the Computer Science Department of the University of Zaragoza

A collaboration is in progress with Iñaki Iturrate and Luis Montesano at Zaragoza University, Spain. We aim a develloping a calibration free Brain Computer Interaction system through the use and extension of learning algorithm developped in the team [43] , [45] , [44] . We focus our effort on error related potentials that occur in the brain while observing or performing a task. They supposedly play a role in human learning as implicit feedback signals that evaluate the correctness or unexpectedness of received stimuli. Our goal is to automatically and reliably detect and classify these signals to provide feedback to artificial systems (e.g. a robot) that learn how to interact and adapt themselves to the user intentions and preferences.