Stabilization of the Capture Point Dynamics for Bipedal Walking based on Model Predictive Control

Manuel Krause (1) , Johannes Englsberger (1) , Pierre-Brice Wieber (2) , Christian Ott (1)

1 DLR Institute of Robotics and Mechatronics
2 BIPOP - Modelling, Simulation, Control and Optimization of Non-Smooth Dynamical Systems

Considering a reduced center-of-mass model for bipedal walking, by utilizing the Capture Point as a system coordinate one can separate the stable and unstable components of the dynamics. In this paper, previous works on the stabilization of the Capture Point dynamics are extended by employing model predictive control (MPC). This allows to explicitly incorporate constraints on the zero-moment-point (ZMP) in the controller design. The proposed Capture-Point-MPC is evaluated in simulation and experiments with the DLR-Biped.

Mots clés: Bipedal walking; Capture Point Dynamics; Model Predictive Control; Application

Domaines: Automatique / Robotique

Manuel Krause, Johannes Englsberger, Pierre-Brice Wieber, Christian Ott. Stabilization of the Capture Point Dynamics for Bipedal Walking based on Model Predictive Control. IFAC Symposium on Robot Control, Sep 2012, Dubrovnik, Croatia. pp.165-171, ⟨10.3182/20120905-3-HR-2030.00165⟩. ⟨hal-02487644⟩