From animal collective behaviors to swarm robotic cooperation

被引:31
|
作者
Duan, Haibin [1 ,2 ]
Huo, Mengzhen [1 ]
Fan, Yanming [3 ]
机构
[1] Beihang Univ, Sch Automation Sci & Elect Engn, State Key Lab Virtual Real Technol & Syst, Beijing 100083, Peoples R China
[2] Peng Cheng Lab, Dept Math & Theories, Virtual Real Fundamental Res Lab, Shenzhen 518000, Peoples R China
[3] AV Shenyang Aircraft Design & Res Inst, Shenyang 110035, Peoples R China
基金
中国国家自然科学基金;
关键词
collective behaviors; swarm intelligence; cooperative robotics swarm; human-machine system; SYSTEM; PIGEON; OPTIMIZATION; DYNAMICS; FIELD;
D O I
10.1093/nsr/nwad040
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Inspired by the fascinating collective behaviors of animals, swarm robotics could be designed to emerge intelligent properties via robotic cooperation for the unmanned swarm system and human-machine system. The collective behaviors of animals, from schooling fish to packing wolves and flocking birds, display plenty of fascinating phenomena that result from simple interaction rules among individuals. The emergent intelligent properties of the animal collective behaviors, such as self-organization, robustness, adaptability and expansibility, have inspired the design of autonomous unmanned swarm systems. This article reviews several typical natural collective behaviors, introduces the origin and connotation of swarm intelligence, and gives the application case of animal collective behaviors. On this basis, the article focuses on the forefront of progress and bionic achievements of aerial, ground and marine robotics swarms, illustrating the mapping relationship from biological cooperative mechanisms to cooperative unmanned cluster systems. Finally, considering the significance of the coexisting-cooperative-cognitive human-machine system, the key technologies to be solved are given as the reference directions for the subsequent exploration.
引用
收藏
页数:18
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