Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review

被引：7
作者：
Nguyen, Luong Vuong [1 ]
机构：
[1] FPT Univ, Dept Artificial Intelligence, Danang 550000, Vietnam
来源：
APPLIEDMATH | 2024年 / 4卷 / 04期
关键词：
swarm intelligence; multi-robotics; swarm robots; SPACE EXPLORATION; BAT ALGORITHM; OPTIMIZATION;
D O I：
10.3390/appliedmath4040064
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources. The review highlights how principles derived from natural swarms, such as those of ants, bees, and birds, can be harnessed to enhance the efficiency, robustness, and scalability of multi-robot systems. We explore key advancements, ongoing challenges, and potential future directions. Through this extensive examination, we aim to provide a foundational understanding and a detailed taxonomy of SI research, paving the way for further innovation and development in theoretical and applied contexts.
引用
收藏
页码：1192 / 1210
页数：19
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