Abstract: Achieving high-fidelity modeling of robot dynamics remains a major challenge in scientific computing and artificial intelligence. Black-box models are prone to overfitting and lack ...

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...