Reinforcement Learning of Contact Preferability in Multi-Contact Locomotion Planning for Humanoids
In this paper, we propose the multi-contact locomotion planning framework for humanoid robots that leverages the target contact selection considering its long-term preferability by reinforcement learning (RL) in optimization-based motion generation with feasibility constraints. It is difficult to pr