RoboDuet: Learning a Cooperative Policy for Whole-Body Legged Loco-Manipulation
Fully leveraging the loco-manipulation capabilities of a quadruped robot equipped with a robotic arm is non-trivial, as it requires controlling all degrees of freedom (DoFs) of the quadruped robot to achieve effective whole-body coordination. In this letter, we propose a novel framework RoboDuet, which employs two collaborative policies to realize locomotion and manipulation simultaneously, achieving whole-body control through mutual interactions. Beyond enabling large-range 6D pose tracking for manipulation, we find that the two-policy framework supports zero-shot transfer across quadruped robots with similar morphology and physical dimensions in the real world. Our experiments demonstrate that RoboDuet achieves a 23% improvement in success rate over the baseline in challenging loco-manipulation tasks employing whole-body control.
Authors
- Zhecheng Yuan
- Jiangmiao Pang (ORCID: https://orcid.org/0000-0002-6711-9319)
- Yandong Ji (ORCID: https://orcid.org/0000-0002-6948-7465)
- Shoujie Li (ORCID: https://orcid.org/0000-0002-5561-3379)
- Huazhe Xu (ORCID: https://orcid.org/0000-0001-8578-1261)
- Houde Liu (ORCID: https://orcid.org/0000-0002-7314-3366)
- Qingwei Ben
- Guoping Pan
- Guangqi Jiang
Institutions
- University of San Diego (US)
- Beijing Academy of Artificial Intelligence (CN)
- Tsinghua–Berkeley Shenzhen Institute (CN)
- Shanghai Artificial Intelligence Laboratory (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- IEEE Robotics and Automation Letters
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1109/lra.2025.3551230
- Citations
- 3
- Primary Topic
- Robot Manipulation and Learning
- Type
- article
- Field-Weighted Citation Impact
- 3.64