Skeleton-guided geometry-aware auto-labeling for robotic grasping: From 4-DoF learning to 6-DoF execution
Robotic grasping relies on large manually annotated datasets, which are costly to create. This work introduces a novel algorithm for generating grasp keypoints based on straight skeletons, which identify high-potential regions for stable and feasible grasp pose estimation. A fully automated pipeline has been develope...