most citedDelving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling

2 citations · 5 across the 3 of their papers we have counts for

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cs.RO2024★ 1 cited

DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes

Jialiang Zhang, Haoran Liu, Danshi Li +5

Grasping in cluttered scenes remains highly challenging for dexterous hands due to the scarcity of data. To address this problem, we present a large-scale synthetic benchmark, enco…

cs.RO2023★ 2 cited

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

Yinzhen Xu, Weikang Wan, Jialiang Zhang +10

In this work, we tackle the problem of learning universal robotic dexterous grasping from a point cloud observation under a table-top setting. The goal is to grasp and lift up obje…