In this master thesis, the problem of supervision of an humanoid robot will be addressed. First, a model of the robot will be developed. Then, a fault detection and isolation scheme will be implemented using the linear parameter varying (LPV) approach. Finally, a fault tolerant scheme will be implemented to compensate the faulty effect, once the fault has been detected and isolated. The proposed approach will be tested in simulation and on a real humanoid platform.Incomin
