Guorong Zhang

MLM: Learning Multi-Task Loco-Manipulation Whole-Body Control for Quadruped Robot With Arm

Whole-body loco-manipulation for quadruped robots with arms remains a challenging problem, particularly in achieving multi-task control. To address this, we propose MLM, a reinforcement learning framework driven by both real-world and simulation data. It enables a six-DoF robotic arm–equipped quadru