2020
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
NeurIPS 2020poster
Learning robotic grasps from visual observations is a promising yet challenging task. Recent research shows its great potential by preparing and learning from large-scale synthetic datasets. For the popular, 6 degree-of-freedom (6-DOF) grasp setting of parallel-jaw gripper, most of existing methods…