Abstract
We present UniBiDex, a unified teleoperation framework for robotic bimanual dexterous manipulation that supports both VR-based and leader - follower input modalities. UniBiDex enables real-time, contact-rich dual-arm teleoperation by integrating heterogeneous input devices into a shared control stack with consistent kinematic treatment and safety guarantees. The framework employs null-space control to optimize bimanual configurations, ensuring smooth, collision-free and singularity-aware motion across tasks. We validate UniBiDex on a long-horizon kitchen-tidying 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 open-source, we aim to lower the barrier to collecting large-scale, high-quality human demonstration datasets and accelerate progress in robot learning.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE International Conference on Robotics and Biomimetics, ROBIO 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 776-782 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798331557478 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2025 - Chengdu, China Duration: 3 Dec 2025 → 7 Dec 2025 |
Conference
| Conference | 2025 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2025 |
|---|---|
| Country/Territory | China |
| City | Chengdu |
| Period | 3/12/25 → 7/12/25 |
ASJC Scopus subject areas
- Information Systems
- Mechanical Engineering
- Control and Optimization
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