Identification-Assisted Sim-to-Real Reinforcement Learning for Adaptive Sliding Mode Control of Industrial Robotic Manipulators
This paper presents an identification-assisted sim-to-real reinforcement learning framework for adaptive sliding mode control of n-degree-of-freedom (n-DOF) industrial robotic manipulators. Within this framework, a reinforcement-learning-based adaptive sliding mode control with time-delay estimation (ASMCTDERL) algorit...