DRL (Deep Reinforcement Learning) has become a research hotspot in the trajectory planning of robot arms, enabling robots to show behaviors close to humans in tasks such as grasping, opening doors, ...
This paper presents a technique to model the residual dynamics between a high-level planner and a low-level controller by considering reference trajectory tracking in a cluttered environment as an ...