Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)

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A Comprehensive Research about Multi-Robot Control Models

Authors
Shuyan Zhang1, Ziyang Zheng2, *, Shizhe Zu2
1School of Computer Science, Beijing Institute of Technology, Beijing, 100081, China
2School of leeds, Southwest Jiaotong University, Chengdu, 611756, China
*Corresponding author. Email: Sc213zz@leeds.ac.uk
Corresponding Author
Ziyang Zheng
Available Online 27 November 2023.
DOI
10.2991/978-94-6463-300-9_76How to use a DOI?
Keywords
Multi-robot control; centralized model; decentralized model
Abstract

Multi-agent systems (MAS) are composed of multiple agents that have the ability to learn and make decisions autonomously, while interacting with each other and a shared environment. The collaboration of multiple robots within complex spaces inevitably gives rise to potential conflicts, making the development of models to coordinate the entire system a prominent aspect in this field. Despite the growing scholarly attention towards MAS in recent years, the research in this area has remained complex and obscure, lacking a clear and concise summary of the concepts and pertinent details. Therefore, the purpose of this paper is to introduce two distinct models of MAS and review several previous studies. Specifically, the paper describes the centralized model and decentralized model of MAS, presenting both the traditional framework and recent innovative advancements. A thorough analysis of these models will be conducted, evaluating their respective advantages and disadvantages. Furthermore, a conclusive summary will be provided, along with a prospect for future research in the field of MAS.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
Series
Advances in Computer Science Research
Publication Date
27 November 2023
ISBN
10.2991/978-94-6463-300-9_76
ISSN
2352-538X
DOI
10.2991/978-94-6463-300-9_76How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shuyan Zhang
AU  - Ziyang Zheng
AU  - Shizhe Zu
PY  - 2023
DA  - 2023/11/27
TI  - A Comprehensive Research about Multi-Robot Control Models
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 723
EP  - 735
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_76
DO  - 10.2991/978-94-6463-300-9_76
ID  - Zhang2023
ER  -