REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds
Binglei Zhao,Hanbo Zhang,Xuguang Lan,Haoyu Wang,Zhiqiang Tian,Nanning Zheng,Binglei Zhao,Hanbo Zhang,Xuguang Lan,Haoyu Wang,Zhiqiang Tian,Nanning Zheng
Reliable robotic grasping in unstructured environments is a crucial but challenging task. The main problem is to generate the optimal grasp of novel objects from partial noisy observations. This paper presents an end-to-end grasp detection network taking one single-view point cloud as input to tackle the problem. Our network includes three stages: Score Network (SN), Grasp Region Network (GRN), an...
