Motion simulation of robot arm using reinforcement learning

Abstract

This paper describes the learning of robot arm action by reinforcement learning. We used Q-learning, which is a typical method of reinforcement learning, and which was programmed via MATLAB software. Simulations demonstrated the shortest path of robot arm motion to reach the target location.