@inproceedings{dadeea92-771a-4f57-9629-8478072a0935,
  abstract     = {{<p>Quest2ROS2 is an open-source ROS2 framework for bi-manual teleoperation designed to scale robot data collection. Extending Quest2ROS, it overcomes workspace limitations via relative motion-based control, calculating robot movement from VR controller pose changes to enable intuitive, pose-independent operation. The framework integrates essential usability and safety features, including real-time RViz visualization, streamlined gripper control, and a pause-and-reset function for smooth transitions. We detail a modular architecture that supports "Side-by-Side"and "Mirror"control modes to optimize operator experience across diverse platforms. Code is available at: https://github.com/Taokt/Quest2ROS2.</p>}},
  author       = {{Li, Jialong and Wang, Zhenguo and Wang, Tianci and Stenmark, Maj and Krueger, Volker}},
  booktitle    = {{HRI 2026 - Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction}},
  editor       = {{Torre, Ilaria and Baillie, Lynne and Smart, William D. and Graaf, Maartje De and Gombolay, Matthew}},
  isbn         = {{9798400721281}},
  keywords     = {{bi-manual manipulation; relative pose control; ros2; teleoperation}},
  language     = {{eng}},
  pages        = {{1288--1292}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{Quest2ROS2 : A ROS 2 Framework for Bi-manual VR Teleoperation}},
  url          = {{http://dx.doi.org/10.1145/3757279.3788806}},
  doi          = {{10.1145/3757279.3788806}},
  year         = {{2026}},
}