LightLLM-Enhanced Multi-Robot Collaboration with Human-in-the-Loop
Human-in-the-Loop systems have become increasingly critical for multi-robot task planning, enabling robust coordination in complex and uncertain environments where full autonomy remains challenging. However, current approaches face significant computa
Authors
- Xingyu Zhao (ORCID: https://orcid.org/0000-0003-1348-5732)
- Shuai Xu (ORCID: https://orcid.org/0000-0003-3560-6945)
- Hailu Xu (ORCID: https://orcid.org/0000-0001-6763-7098)
- Zhichang Qi (ORCID: https://orcid.org/0009-0005-3812-0395)
- Jiaming Guo (ORCID: https://orcid.org/0000-0002-4774-2074)
Institutions
- California State University System (US)
- Duke University (US)
- George Washington University (US)
- Case Western Reserve University (US)
Publication Details
- Published
- 2025-10-02
- DOI
- https://doi.org/10.36227/techrxiv.175944029.92112575/v1
- Primary Topic
- Teleoperation and Haptic Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00