A deep reinforcement learning (DRL)-based motion planning method is proposed to improve long planning elapse and lengthy path of the traditional planning algorithms for robotic manipulator movement in obstacle avoidance. Firstly. based on the mathematical model of the manipulator and the motion environment. the DOBOT robot and the operating environment are built in PyBullet. https://herbsdailyes.shop/product-category/mineral/