most citedUniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy

2 citations · 4 across the 3 of their papers we have counts for

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cs.CV2023★ 1 cited

PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations

Haoran Geng, Ziming Li, Yiran Geng +3

Learning a generalizable object manipulation policy is vital for an embodied agent to work in complex real-world scenes. Parts, as the shared components in different object categor…