2025
GAP-RL: Grasps as Points for RL Towards Dynamic Object Grasping
RA-L 2025
Dynamic grasping of moving objects in complex, continuous motion scenarios remains challenging. Reinforcement Learning (RL) has been applied in various robotic manipulation tasks, benefiting from its closed-loop property. However, existing RL-based methods do not fully explore the potential for enha