Efficient learning of goal-oriented push-grasping synergy in clutter

1 code implementation • 9 Mar 2021 • Kechun Xu, Hongxiang Yu, Qianen Lai, Yue Wang, Rong Xiong

In this paper, a goal-conditioned hierarchical reinforcement learning formulation with high sample efficiency is proposed to learn a push-grasping policy for grasping a specific object in clutter.

Hierarchical Reinforcement Learning Robotics