基于群体智能的多艘无人水面舰艇协同搜索与狩猎研究综述

IF 2.3 4区 计算机科学 Q2 Computer Science
Gongxing Wu, Taotao Xu, Yu-shan Sun, Jiawei Zhang
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引用次数: 10

摘要

近年来,多艘无人水面舰艇协同工作的研究受到了极大的关注。越来越多的研究人员提出了多种无人水面舰艇协同的方法,如协同避碰、编队和交会。基于生物群智能应用在这些协同方法中的显著优势,本文从群智能的角度总结了多艘无人水面舰艇协同搜索和狩猎的研究方法。首先,本文从多机器人系统、群组通信、环境建模、协作机制和路径规划等方面总结了多艘无人水面舰艇协同搜索与狩猎的关键技术。然后,回顾了一些经典的群体智能算法,分析了这些算法的优缺点,并在相关文献的基础上针对存在的缺点提出了优化方向。最后,文章指出了各个阶段存在的一些问题,并对今后的研究提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of multiple unmanned surface vessels collaborative search and hunting based on swarm intelligence
In recent years, the research of multiple unmanned surface vessels collaboration has received great attention. More and more researchers have proposed different methods of multiple unmanned surface vessels collaboration, such as cooperative collision avoidance, formation, and rendezvous. Based on the significant advantages of biological swarm intelligence applications in these collaborative methods, this article summarizes the research methods of multiple unmanned surface vessels collaborative search and hunting from the perspective of swarm intelligence. First of all, this article summarizes the key technologies of multiple unmanned surface vessels collaborative search and hunting from the aspects of the multi-robot system, group communication, environment modeling, collaboration mechanism, and path planning. Then, it reviews some classic swarm intelligence algorithms, analyzes the advantages and disadvantages of these algorithms, and proposes optimization directions for existing disadvantages based on relevant literature. Finally, the article points out some existing problems in every stage and suggestions for future research.
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
65
审稿时长
6 months
期刊介绍: International Journal of Advanced Robotic Systems (IJARS) is a JCR ranked, peer-reviewed open access journal covering the full spectrum of robotics research. The journal is addressed to both practicing professionals and researchers in the field of robotics and its specialty areas. IJARS features fourteen topic areas each headed by a Topic Editor-in-Chief, integrating all aspects of research in robotics under the journal''s domain.
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