Analysis on Deep Reinforcement Learning in Industrial Robotic Arm

Abstract

Deep reinforcement learning is a combination of reinforcement learning and deep learning. It allows the robot to learn new tasks on its own. In recent years, many studies have applied deep reinforcement learning algorithms to the manipulation of robotic arms, and have achieved excellent results. This article described the basic knowledge of deep reinforcement learning and analyzed the current problems faced by industrial robotic arms. By reviewing the main research that researchers have applied deep reinforcement learning algorithms to the field of manipulator operation in recent years and the development of related deep reinforcement learning algorithms. It concluded that how deep reinforcement learning can solve the problems faced by industrial robotic arms. Finally, this article referred to the challenges faced by the application of deep reinforcement learning and its application in the field of industrial robotic arms and then made a detailed analysis and explanation.