| 集群机器人研究综述 |
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| 引用本文： | 王伟嘉,郑雅婷,林国政,张亮,韩战钢. 集群机器人研究综述[J]. 机器人, 2020, 42(2): 232-256. DOI: 10.13973/j.cnki.robot.190009 |
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| 作者姓名： | 王伟嘉 郑雅婷 林国政 张亮 韩战钢 |
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| 作者单位： | 北京师范大学系统科学学院, 北京 100875 |
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| 摘 要： | 首先,给出了集群机器人的定义与基本特征,概括了相对于传统多机器人控制方法的优势.然后,总结了集群机器人的主要设计与分析方法.将集群机器人研究归纳为空间组织、集群导航、集群决策以及其他集群行为等4类,综述了各类别近十年的主要研究成果.最后,分析总结了当前集群机器人研究面临的挑战与关键科学问题,并对未来发展方向进行了展望.
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| 关 键 词： | 集群机器人 集群行为 集群智能 多机器人系统 协同控制 |
| 收稿时间： | 2019-01-02 |
Swarm Robotics: A Review |
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| WANG Weijia,ZHENG Yating,LIN Guozheng,ZHANG Liang,HAN Zhangang. Swarm Robotics: A Review[J]. Robot, 2020, 42(2): 232-256. DOI: 10.13973/j.cnki.robot.190009 |
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| Authors: | WANG Weijia ZHENG Yating LIN Guozheng ZHANG Liang HAN Zhangang |
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| Affiliation: | School of Systems Science, Beijing Normal University, Beijing 100875, China |
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| Abstract: | Firstly, the definition and basic features of swarm robotics are introduced, and the advantages over traditional multi-robot control methods are summarized. Then, the main design and analysis methods of swarm robotics are concluded. The research of swarm robotics are categorized as four aspects: spatial organization, collective navigation, collective decision-making and other collective behaviors. The progress and frontiers of each category in recent ten years are reviewed. Finally, the current challenges and key scientific issues in swarm robotics are clarified and analyzed, and the outlook of development trends in swarm robotics is given. |
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| Keywords: | swarm robotics collective behavior swarm intelligence multi-robot system collaborative control |
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