Moving horizon control for biped robots without reference trajectory

This paper deals with a new control approach for biped robots. The technique is inspired by the prediction capability of human being. Optimal computations over a moving horizon are performed with a set of constraints which is modified online to be adapted to the obstacle-filled environment. Simulation results show the efficiency of the algorithm in the case of a gait on flat terrain and steep stairs.