Presish Bhattachan

37, 000 Human-Planned Robotic Grasps With Six Degrees of Freedom

Much recent work in grasp planning has focused on data-driven approaches, using deep learning to map from images to gripper configurations. However, this approach typically fails about once per ten attempts, limiting its practicality. We sought to better understand the degree to which such failures