A Direction-Adaptive and Uncertainty-Weighted Pose Dynamic Movement Primitives Framework for Robot Skill Reproduction
Simulation studies on RoboMimic trajectories show that the RMP-inspired feedback primarily improves pose reproduction accuracy and disturbance recovery, whereas the SSGP-based weighting substantially reduces terminal translational and rotational jerk, with a slight accuracy compromise relative to RMP-DMP.