HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes using Deep Reinforcement Learning
Kai-Tai Song,Hsiang-Hsi Chen,Kai-Tai Song,Hsiang-Hsi Chen
Robotic autonomous grasp requires the system to perform multiple functions such as gripper and robot control, making it a task with hybrid output nature. Existing methods based on closed-loop deep reinforcement learning rely on external models for termination evaluation. To achieve more effective grasp for novel objects, we propose a new autonomous grasp control scheme termed HAGrasp that consider...
