Gaoming Lou

Controlling Soft Robotic Arms Using Hybrid Modelling and Reinforcement Learning

Soft robotic arms exhibit high deformability and degrees of freedom, which brings challenges in modeling accuracy and susceptibility to gravitational effects, resulting in imprecise control. This study proposes a reinforcement learning control strategy based on a hybrid model for precise control of