Abstract: To endow robotic arms with enhanced autonomous obstacle avoidance and path planning capabilities in complex dynamic environments, deep reinforcement learning (DRL) methods have been widely ...

Abstract: This article presents a predefined-time reliable control strategy with prescribed performance for tracking control of robotic systems with actuator faults and parametric uncertainties. A ...