AI & ML Open Release

An open foundation suite for universal dexterous robot control trained on over 50k trajectories across eight different robotic hand architectures.

March 24, 2026

Original Paper

UniDex: A Robot Foundation Suite for Universal Dexterous Hand Control from Egocentric Human Videos

Gu Zhang, Qicheng Xu, Haozhe Zhang, Jianhan Ma, Long He, Yiming Bao, Zeyu Ping, Zhecheng Yuan, Chenhao Lu, Chengbo Yuan, Tianhai Liang, Xiaoyu Tian, Maanping Shao, Feihong Zhang, Mingyu Ding, Yang Gao, Hao Zhao, Hang Zhao, Huazhe Xu

arXiv · 2603.22264

The Takeaway

It provides a unified VLA policy and a portable capture setup to reduce reliance on expensive teleoperation. By mapping functionally similar actuators to a shared space, it enables cross-hand transfer, democratizing high-DOF manipulation research.

From the abstract

Dexterous manipulation remains challenging due to the cost of collecting real-robot teleoperation data, the heterogeneity of hand embodiments, and the high dimensionality of control. We present UniDex, a robot foundation suite that couples a large-scale robot-centric dataset with a unified vision-language-action (VLA) policy and a practical human-data capture setup for universal dexterous hand control. First, we construct UniDex-Dataset, a robot-centric dataset over 50K trajectories across eight