Adaptation of the Tandem Running Algorithm to Control a Robot Swarm

F. Abramov, O. Andreieva, Oleksandr Andreiev, T. Diachenko, Iana Maksymenko
{"title":"Adaptation of the Tandem Running Algorithm to Control a Robot Swarm","authors":"F. Abramov, O. Andreieva, Oleksandr Andreiev, T. Diachenko, Iana Maksymenko","doi":"10.1109/KhPIWeek57572.2022.9916437","DOIUrl":null,"url":null,"abstract":"In the work the prospects for using the tandem running algorithm to control a robot swarm is studied. The main advantages and disadvantages of the tandem running algorithm were highlighted, which determine the potential scope of its application. With the help of computer simulations, it was proved that the tandem running algorithm, although it is inferior in speed to the adaptive ant algorithm, allows information to be spread among all members of the swarm. It is shown that the algorithm of tandem running is most expedient to use in the case of the need to mobilize a small number of robots that have to carry out a small number of raids.","PeriodicalId":197096,"journal":{"name":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","volume":"462 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek57572.2022.9916437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the work the prospects for using the tandem running algorithm to control a robot swarm is studied. The main advantages and disadvantages of the tandem running algorithm were highlighted, which determine the potential scope of its application. With the help of computer simulations, it was proved that the tandem running algorithm, although it is inferior in speed to the adaptive ant algorithm, allows information to be spread among all members of the swarm. It is shown that the algorithm of tandem running is most expedient to use in the case of the need to mobilize a small number of robots that have to carry out a small number of raids.
串联运行算法在机器人群控制中的应用
研究了串联运行算法在机器人群控制中的应用前景。分析了串列运行算法的主要优缺点,确定了串列运行算法的潜在应用范围。通过计算机仿真,证明了串联运行算法虽然在速度上不如自适应蚁群算法,但可以使信息在群体的所有成员之间传播。结果表明,在需要动员少量机器人执行少量突袭任务的情况下,串联运行算法是最方便的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信