Agnès Roby-Brami, Sylvain Hanneton,Johanna Robertson, Eric Boyer

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Human beings have to continuously adapt their motor coordination to perform complex sensori-motor tasks. Our aim is to investigate the dynamics of this learning, by using behavioral observations of action, biomechanical analysis of movement and models of adaptive control. We are particularly interested by proprioceptive and haptic information. Clinical applications are related to rehabilitation for the recovery of function after a central nervous system lesion (stroke or spinal cord injury) and to the compensation of motor and sensory impairments. Computer based augmented reality is used to build a modular workbench for the development of assistive and suppletive technology.