首页|Revolutionary entrapment model of uniformly distributed swarm robots in morphogenetic formation

Revolutionary entrapment model of uniformly distributed swarm robots in morphogenetic formation

扫码查看
原文链接
  • 万方数据
  • 维普
This study proposes a method for uniformly revolving swarm robots to entrap multiple targets,which is based on a gene regulatory network,an adaptive decision mechanism,and an improved Vicsek-model.Using the gene regulatory network method,the robots can generate entrapping patterns according to the environmental input,including the positions of the targets and obstacles.Next,an adaptive decision mechanism is proposed,allowing each robot to choose the most well-adapted capture point on the pattern,based on its environment.The robots employ an improved Vicsek-model to maneuver to the planned capture point smoothly,without colliding with other robots or obstacles.The proposed decision mechanism,combined with the improved Vicsek-model,can form a uniform entrapment shape and create a revolving effect around targets while entrapping them.This study also enables swarm robots,with an adaptive pattern formation,to entrap multiple targets in complex environments.Swarm robots can be deployed in the military field of unmanned aerial vehicles'(UAVs)entrapping multiple targets.Simulation experiments demonstrate the feasibility and superiority of the proposed gene regulatory network method.

Swarm intelligenceRevolutionary entrapmentFlockingRobotsGene regulatory networkVicsek-modelEntrapping multiple targets

Chen Wang、Zhaohui Shi、Minqiang Gu、Weicheng Luo、Xiaomin Zhu、Zhun Fan

展开 >

Shantou University,Shantou,Guangdong,China

National University of Defense Technology,Changsha,China

Key Lab of Digital Signal and Image Processing of Guangdong Province,China

the Key Laboratory of Digital Signal and Image Processing of Guangdong Province,Shantou University,Guangdong Province,Chinathe National Natural Science Foundation of Chinathe Science and Technology Planning Project of Guangdong Province of Chinathe State Key Lab of Digital Manufacturing Equipment and Technologythe National Defense Technology Innovation Special Zone Project

62176147DMETKF2019020193-A14-226-01-01

2024

10.1016/j.dt.2022.08.015

防务技术
中国兵工学会

防务技术

CSTPCD
影响因子：0.358
ISSN：2214-9147
年,卷(期)：2024.(1)
  • 37