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...