From animal collective behaviors to swarm robotic cooperation

Haibin Duan; Mengzhen Huo; Yanming Fan

doi:10.1093/nsr/nwad040

From animal collective behaviors to swarm robotic cooperation

Natl Sci Rev. 2023 Feb 16;10(5):nwad040. doi: 10.1093/nsr/nwad040. eCollection 2023 May.

Authors

Haibin Duan^{1

2}, Mengzhen Huo¹, Yanming Fan³

Affiliations

¹ State Key Laboratory of Virtual Reality Technology and Systems, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China.
² Virtual Reality Fundamental Research Laboratory, Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen 518000, China.
³ AVIC Shenyang Aircraft Design and Research Institute, Shenyang 110035, China.

Abstract

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.

Keywords: collective behaviors; cooperative robotics swarm; human-machine system; swarm intelligence.

Publication types

Review