Grasp for Stacking via Deep Reinforcement Learning
Junhao Zhang,Wei Zhang,Ran Song,Lin Ma,Yibin Li,Junhao Zhang,Wei Zhang,Ran Song,Lin Ma,Yibin Li
Integrated robotic arm system should contain both grasp and place actions. However, most grasping methods focus more on how to grasp objects, while ignoring the placement of the grasped objects, which limits their applications in various industrial environments. In this research, we propose a model-free deep Q-learning method to learn the grasping-stacking strategy end-to-end from scratch. Our met...
