从自然灵感角度出发的群体智能集群机器人系统研究综述OA北大核心CSTPCD
Review of Swarm Intelligence Research in Swarm Robotic Systems:Approaching from the Perspective of Nature Inspiration
受生物自组织行为启发的群体智能研究近年来发展势头迅猛,以生物自组织行为内在机理为依据可以协助研究者设计出高效的集群系统.本文从生物自组织行为出发对群体智能集群机器人系统的研究成果进行综述,首先解释自然界中生物的部分自组织行为;其次对生物自组织行为机制所衍生出的群体智能集群机器人系统任务进行归类,总结近年来的研究成果;最后对集群系统当前研究存在的问题以及受生物行为启发的集群机器人系统未来发展趋势进行展望.该综述致力于为广大研究者提供一个新角度思考群体智能集群机器人系统的研究成果以推动相关领域发展.
The study of swarm intelligence,inspired by self-organized behaviors in biology,has achieved remarkable momentum.By understanding the intrinsic mechanisms of self-organization behavior in biological systems,researchers can design efficient swarm robotics systems.The research achievements in swarm robotic systems based on the self-organization behavior in biology are comprehensively assessed in this study.First,several self-organization behaviors in biology are discussed.Second,the studies on the tasks of swarm robotic systems derived from behavioral mechanisms are categorized,and the achievements in recent years are summarized.Finally,the key challenges and the future development direction in the growth of swarm robotic systems inspired by biological behavior are explored.This study aims to offer researchers a novel perspective for contemplating the research outcomes of collective intelligence swarm robotic systems,thereby pro-moting advancements in related fields.
刘金存;任崟杰;徐战;安冬;位耀光
中国农业大学国家数字渔业创新中心,北京 100083||农业农村部智慧养殖技术重点实验室,北京 100083||北京市农业物联网工程技术研究中心,北京 100083||中国农业大学信息与电气工程学院,北京 100083
计算机与自动化
自组织群体智能集群机器人系统自然灵感分类学
self-organizationswarm intelligenceswarm robotics systemnature inspirationtaxonomy
《信息与控制》 2024 (002)
154-181 / 28
国家自然科学基金项目(62273351)
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