UniBiDex: A Unified Teleoperation Framework for Robotic Bimanual Dexterous Manipulation

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Authors: Zhongxuan Li, Zeliang Guo, Jun Hu, David Navarro-Alarcón, Jia Pan, Hongmin Wu, Peng Zhou
Cited by: 0

Abstract

We present UniBiDex a unified teleoperation framework for robotic bimanual dexterous manipulation that supports both VRbased and leaderfollower input modalities UniBiDex enables realtime contactrich dualarm teleoperation by integrating heterogeneous input devices into a shared control stack with consistent kinematic treatment and safety guarantees The framework employs nullspace control to optimize bimanual configurations ensuring smooth collisionfree and singularityaware motion across tasks We validate UniBiDex on a longhorizon kitchentidying task involving five sequential manipulation subtasks demonstrating higher task success rates smoother trajectories and improved robustness compared to strong baselines By releasing all hardware and software components as opensource we aim to lower the barrier to collecting largescale highquality human demonstration datasets and accelerate progress in robot learning.

Fields of Study & Subjects

Teleoperation and Haptic Systems Robot Manipulation and Learning Reinforcement Learning in Robotics

Publication details

Journal / source
arXiv (Cornell University)
Publication date
8 January 2026
Document type
Preprint