PhD Programs Online Position at LIRMM-INRIA, France

INRIA is the French national institute for research in computer science and automation. The strategy of the institution closely associated scientific excellence and technology transfer. INRIA priorities are seven: (i) modeling, simulation and optimization of complex dynamic systems, (ii) programming: security and reliability of computer systems, (iii) Communication, Information and Ubiquitous Computing (iv) the interaction with real and virtual worlds (v) in computer science, (vi) computer science, (vii) medical computer science.
The research interests of the DEMAR project focused on modeling sensorimotor rights, including the muscles, sensory feedback and neural network engines. Ultimate objective of this team is focused on developing advanced neuroprosthesis for restoration of the defective functions.

Descriptif

Identification of biomechanical dynamics and muscle dynamics for neurologically damaged patient is already challenging as the system response can drastically vary depending on the degree of the patient deficiencies. The extracted information with System Identification technique is finally to be used for the understanding of motor control function in such patient and for motion synthesis and control using FES (Functional Electrical Stimulation). However, In FES, movement synthesis and control are still a challenging task due to the complexity of whole body dynamics computation and the nonlinearity of stimulated muscle dynamics. For the motion synthesis, recently some optimization technique started to be applied in whole body simulation platform where the desired criteria can be defined and evaluated through an accurate numeric simulation such as OpenSim software of Stanford Univ. For the control, one of the challenge concerns the feedback (torque, EMG, joint angle) that can be used to control joint angle, torque or stiffness. Moreover, control strategies have to be designed in order to be performed on portable architecture and tuned through advanced modeling and simulation.

This PhD work is performed under the collaborative project named @walk (artificial walking) between INRIA DEMAR project and AI lab of Stanford University. http://www.lirmm.fr/~fraisse/@WALK/

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