ReCo: Response-Consistent Locomotion with Policy-Aware MPC for Legged Manipulation
ReCo couples response-consistent locomotion with policy-aware Model Predictive Control (MPC) for legged manipulation. It trains a locomotion policy to be repeatable through reference tracking, allowing an identified closed-loop response model to guide MPC in jointly planning walking commands and arm motion. This results in significant improvements in tracking accuracy.