GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning

no code implementations • 4 Mar 2022 • Tianhao Wu, Fangwei Zhong, Yiran Geng, Hongchen Wang, Yongjian Zhu, Yizhou Wang, Hao Dong

we formulate the dynamic grasping problem as a 'move-and-grasp' game, where the robot is to pick up the object on the mover and the adversarial mover is to find a path to escape it.

Object reinforcement-learning +1