Tian Tan

Object-Motion-Aware Grasp Pose Refinement for Stable and Collision-Free Real-Robot Grasping

Neural-network-based grasp detection has achieved remarkable success in robotic manipulation due to its efficiency and generalization ability. However, detected poses are often not optimized, leading to undesired object motion or collisions during physical execution. This paper proposes a motion-aware refinement framew...