Learning Continuous 3D Reconstructions for Geometrically Aware Grasping

2 Oct 2019Mark Van der MerweQingkai LuBalakumar SundaralingamMartin MatakTucker Hermans

Deep learning has enabled remarkable improvements in grasp synthesis for previously unseen objects from partial object views. However, existing approaches lack the ability to explicitly reason about the full 3D geometry of the object when selecting a grasp, relying on indirect geometric reasoning derived when learning grasp success networks... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.