SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments

For swarm robots moving in a harsh or uncharted outdoor environment without GPS guidance and global communication, algorithms that rely on global-based information are infeasible. Typically, traditional gene regulatory networks (GRNs) that achieve superior performance in forming trapping pattern tow...

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Main Authors: Yutong Yuan, Zhun Fan, Xiaomin Zhu, Li Ma, Ji Ouyang, Weidong Bao, Ji Wang, Zhaojun Wang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-08-01
Series:Defence Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S221491472300137X
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author Yutong Yuan
Zhun Fan
Xiaomin Zhu
Li Ma
Ji Ouyang
Weidong Bao
Ji Wang
Zhaojun Wang
author_facet Yutong Yuan
Zhun Fan
Xiaomin Zhu
Li Ma
Ji Ouyang
Weidong Bao
Ji Wang
Zhaojun Wang
author_sort Yutong Yuan
collection DOAJ
description For swarm robots moving in a harsh or uncharted outdoor environment without GPS guidance and global communication, algorithms that rely on global-based information are infeasible. Typically, traditional gene regulatory networks (GRNs) that achieve superior performance in forming trapping pattern towards targets require accurate global positional information to guide swarm robots. This article presents a gene regulatory network with Self-organized grouping and entrapping method for swarms (SUNDER-GRN) to achieve adequate trapping performance with a large-scale swarm in a confined multitarget environment with access to only local information. A hierarchical self-organized grouping method (HSG) is proposed to structure subswarms in a distributed way. In addition, a modified distributed controller, with a relative coordinate system that is established to relieve the need for global information, is leveraged to facilitate subswarms entrapment toward different targets, thus improving the global multi-target entrapping performance. The results demonstrate the superiority of SUNDER-GRN in the performance of structuring subswarms and entrapping 10 targets with 200 robots in an environment confined by obstacles and with only local information accessible.
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spelling doaj.art-c4e9a65fd8034c1c862d21b57011f65a2023-08-31T05:02:55ZengKeAi Communications Co., Ltd.Defence Technology2214-91472023-08-01266883SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environmentsYutong Yuan0Zhun Fan1Xiaomin Zhu2Li Ma3Ji Ouyang4Weidong Bao5Ji Wang6Zhaojun Wang7College of Systems Engineer, National University of Defense Technology, Changsha 410073, ChinaSchool of Electrical and Information Engineering, Shantou University, Shantou 515063, China; Corresponding author.College of Systems Engineer, National University of Defense Technology, Changsha 410073, China; Strategic Assessments and Consultation Institute, Academy of Military Science, Beijing 100097, ChinaCollege of Systems Engineer, National University of Defense Technology, Changsha 410073, China; Strategic Assessments and Consultation Institute, Academy of Military Science, Beijing 100097, ChinaCollege of Systems Engineer, National University of Defense Technology, Changsha 410073, ChinaCollege of Systems Engineer, National University of Defense Technology, Changsha 410073, ChinaCollege of Systems Engineer, National University of Defense Technology, Changsha 410073, ChinaSchool of Electrical and Information Engineering, Shantou University, Shantou 515063, ChinaFor swarm robots moving in a harsh or uncharted outdoor environment without GPS guidance and global communication, algorithms that rely on global-based information are infeasible. Typically, traditional gene regulatory networks (GRNs) that achieve superior performance in forming trapping pattern towards targets require accurate global positional information to guide swarm robots. This article presents a gene regulatory network with Self-organized grouping and entrapping method for swarms (SUNDER-GRN) to achieve adequate trapping performance with a large-scale swarm in a confined multitarget environment with access to only local information. A hierarchical self-organized grouping method (HSG) is proposed to structure subswarms in a distributed way. In addition, a modified distributed controller, with a relative coordinate system that is established to relieve the need for global information, is leveraged to facilitate subswarms entrapment toward different targets, thus improving the global multi-target entrapping performance. The results demonstrate the superiority of SUNDER-GRN in the performance of structuring subswarms and entrapping 10 targets with 200 robots in an environment confined by obstacles and with only local information accessible.http://www.sciencedirect.com/science/article/pii/S221491472300137XSwarm robotsLocal informationGene regulatory networkSwarm groupingTrapping patternConfined multitarget environment
spellingShingle Yutong Yuan
Zhun Fan
Xiaomin Zhu
Li Ma
Ji Ouyang
Weidong Bao
Ji Wang
Zhaojun Wang
SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments
Defence Technology
Swarm robots
Local information
Gene regulatory network
Swarm grouping
Trapping pattern
Confined multitarget environment
title SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments
title_full SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments
title_fullStr SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments
title_full_unstemmed SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments
title_short SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments
title_sort sunder self organized grouping and entrapping method for swarms in multitarget environments
topic Swarm robots
Local information
Gene regulatory network
Swarm grouping
Trapping pattern
Confined multitarget environment
url http://www.sciencedirect.com/science/article/pii/S221491472300137X
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