TY - JOUR
T1 - From animal collective behaviors to swarm robotic cooperation
AU - Duan, Haibin
AU - Huo, Mengzhen
AU - Fan, Yanming
N1 - Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.
PY - 2023/5/1
Y1 - 2023/5/1
N2 - 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.
AB - 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.
KW - collective behaviors
KW - cooperative robotics swarm
KW - human-machine system
KW - swarm intelligence
UR - https://www.scopus.com/pages/publications/85159167792
U2 - 10.1093/nsr/nwad040
DO - 10.1093/nsr/nwad040
M3 - 文献综述
AN - SCOPUS:85159167792
SN - 2095-5138
VL - 10
JO - National Science Review
JF - National Science Review
IS - 5
M1 - nwad040
ER -