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METHODS FOR LEARNING PARAMETERS OF A NEURAL NETWORK, FOR GENERATING A TRAJECTORY OF AN EXOSKELETON AND FOR SETTING THE EXOSKELETON IN MOTION
METHODS FOR LEARNING PARAMETERS OF A NEURAL NETWORK, FOR GENERATING A TRAJECTORY OF AN EXOSKELETON AND FOR SETTING THE EXOSKELETON IN MOTION
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机译：用于学习神经网络的参数的方法，用于产生外骨骼的轨迹和用于在运动中设置外骨骼
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摘要
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 step of the exoskeleton (1) defined by n-tuple step parameters, according to a first database for learning periodic trajectories for a set of possible steps 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 steps of the exoskeleton (1).
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