A Model Predictive Control Based Robust Gait Generation with Turning Ability

To enhance the anti-disturbance ability of biped robots and improve their full range of motion ability, this paper proposes a gait generation method based on model predictive control with turning ability, which can automatically generate gait trajectories with the given reference speed and turning speed. We integrate footstep positions into the objective function and use the change of center of pressure (CoP) as the optimal input to minimize the objective. The contribution of this paper is considering various feasible optimization constraints to generate gait trajectories online with anti-disturbance ability, adjustable stride, and turning ability. Simulation results show that this method can generate robust gait trajectories online and turn in any direction.