Scout-explorer multi-agent framework for terrain coverage

Nilay Binjola, J. P. Misra
{"title":"Scout-explorer multi-agent framework for terrain coverage","authors":"Nilay Binjola, J. P. Misra","doi":"10.1109/IC3.2016.7880198","DOIUrl":null,"url":null,"abstract":"Multi-Agent systems enable us to simulate swarm behaviour wherein intelligence emerges from the collective instead of the individual. The problem of terrain coverage forms a prominent field of research in multi-agent systems with wide-ranging real-life applications. We propose a new multi-agent framework called the Scout-Explorer framework which utilizes global terrain knowledge to cover a previously unknown terrain while being energy effective. The paper demonstrates results obtained via simulations over multiple metrics comparing standard terrain coverage algorithms with a spatiotemporal implementation of the proposed framework.","PeriodicalId":294210,"journal":{"name":"2016 Ninth International Conference on Contemporary Computing (IC3)","volume":"35 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Ninth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2016.7880198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Multi-Agent systems enable us to simulate swarm behaviour wherein intelligence emerges from the collective instead of the individual. The problem of terrain coverage forms a prominent field of research in multi-agent systems with wide-ranging real-life applications. We propose a new multi-agent framework called the Scout-Explorer framework which utilizes global terrain knowledge to cover a previously unknown terrain while being energy effective. The paper demonstrates results obtained via simulations over multiple metrics comparing standard terrain coverage algorithms with a spatiotemporal implementation of the proposed framework.
用于地形覆盖的Scout-explorer多智能体框架
多代理系统使我们能够模拟群体行为,其中智能来自集体而不是个人。地形覆盖问题是多智能体系统中一个重要的研究领域,具有广泛的实际应用。我们提出了一种新的多智能体框架,称为Scout-Explorer框架,该框架利用全局地形知识覆盖以前未知的地形,同时节能。本文展示了通过多个度量将标准地形覆盖算法与所提出框架的时空实现进行比较的模拟结果。
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