@inproceedings{a5718915aefb47459ee35509e652dbcd,
title = "A Multi-robot Collaborative Task Allocation approach based on Alternating Direction Method of Multipliers",
abstract = "Multi-robot task allocation for complex product manufacturing suffers from task heterogeneity with uncertainty in the collaboration relationship. When the number of robots increases, the complexity rises rapidly, making this problem difficult to solve efficiently. This paper develops a multi-stage solution model using the alternating direction multiplier method (ADMM). The relaxation of constraints and stepwise optimisation solves the problem of the over-complexity of the solution in multi-robot task allocation. Finally, the proposed method is validated by a case study.",
keywords = "Alternating Direction Method of Multipliers, Multi-robot Task Allocation, Particle Swarm Optimization",
author = "Zeyin Ding and Geng Zhang and Gang Wang and Yingfeng Zhang",
note = "Publisher Copyright: {\textcopyright} 2025 SPIE.; International Conference on Computer Vision and Augmented Reality, CVAR 2025 ; Conference date: 16-05-2025 Through 18-05-2025",
year = "2025",
month = sep,
day = "8",
doi = "10.1117/12.3076942",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Weichuan Zhang and Jiaxin Han",
booktitle = "International Conference on Computer Vision and Augmented Reality, CVAR 2025",
}