Jianmin Cao

Robot Grasp in Cluttered Scene Using a Multi-Stage Deep Learning Model

Object grasping in cluttered scene is a practical robotic skill which has a wide range of applications. In this paper, we propose a novel maximum graspness metric which can help extract high-quality scene grasp points effectively. The graspness scores of a single-view point cloud are generated using