Jiakang Zhong

Dual-Critic Deep Reinforcement Learning for Push-Grasping Synergy in Cluttered Environment

Robotic push-grasping in densely cluttered environments presents significant challenges due to unbalanced synergy and redundancy between both actions, leading to decreased grasp efficiency. In this paper, a novel double-critic deep reinforcement learning framework is introduced to optimize the push-…