Neural network for control of bipeds

A neural control scheme for bipeds is described. The scheme employs a single neural controller for the whole biped. In this case, the neural controller was a recurrent neural network. Simulation results show that the neural controllers were better than proportional derivative (PD) controllers at rejecting large load disturbances and accommodating different step lengths