Online Learning of Heterogeneous Locomotion Dynamics under Reinforcement Learning Policies for Precise Loco-Manipulation
An online method to learn the closed-loop dynamics under a frozen locomotion policy with consistent and unbiased dynamics estimates is proposed, and model predictive control (MPC) predicts floating-base motion accurately and enables precise loco-manipulation.