METHODS FOR LEARNING PARAMETERS OF A NEURAL NETWORK, FOR GENERATING A TRAJECTORY OF AN EXOSKELETON AND FOR SETTING THE EXOSKELETON IN MOTION

The present invention relates to a method for learning parameters of a neural network for generating trajectories of an exoskeleton (1), the method comprising the implementation, by data processing means (11a) of a first server (10a), of steps of:(a) Learning parameters of a first neural network suitable for generating periodic elementary trajectories of the exoskeleton (1) each for a given walking of the exoskeleton (1) defined by a n-tuple of walking parameters, according to a first database for learning periodic trajectories for a set of possible walkings of the exoskeleton (1);(b) Learning, using parameters from the first neural network, parameters of a second neural network suitable for generating periodic elementary trajectories of the exoskeleton (1) and transitions from one periodic elementary trajectory of the exoskeleton (1) to another periodic elementary trajectory of the exoskeleton (1), according to a second learning database of periodic elementary trajectories and transitions for a set of possible walkings of the exoskeleton (1).