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In this paper, we devise methods for the multiobjective control of humanoid robots, a.k.a.prioritized wholebody controllers, that achieve efficiency and robustness in the algorithmic computations.We use a form of whole-body controllers that is very general via incorporating centroidal momentum dynamics, operational task priorities, contact reaction forces, and internal force constraints.First, we achieve efficiency by solving a quadratic program that only involves the floating base dynamics and the reaction forces.Second, we achieve computational robustness by relaxing task accelerations such that they comply with friction cone constraints.Finally, we incorporate methods for smooth contact transitions to enhance the control of dynamic locomotion behaviors.The proposed methods are demonstrated both in simulation and in real experiments using a passive-ankle bipedal robot.
Kim et al. (Mon,) studied this question.