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

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

collaborators

2 papers

cs.CV2024★ 1 cited

Real2Code: Reconstruct Articulated Objects via Code Generation

Zhao Mandi, Yijia Weng, Dominik Bauer +1

We present Real2Code, a novel approach to reconstructing articulated objects via code generation. Given visual observations of an object, we first reconstruct its part geometry usi…

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…