Deep Reinforcement Learning (DRL) has achieved significant advancements in legged robot locomotion tasks. However, neural network-based control policies suffer from action fluctuations in complex ...

The identification of inertial parameters is crucial to achieve high-performance model-based control of legged robots. The inertial parameters of the legs are typically not altered during expeditions ...