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 ...

We first report a morphological design of the robot's limbs that facilitates the forward locomotion of our vibration-driven model and enhances the capability of coping with sloped obstacles and ...