Robot PID Control Using Reinforcement Learning

In this paper, the robot PID control is compensated by the reinforcement learning. The controller adjustment is proposed by the stability analysis. The reinforcement learning can compensate the dynamics of the robot. This method avoids the problems due to big integral gain of classical PID control. The experimental results show the effectiveness of the proposed controller.