Macroscopic quantitative observation of multi-robot behavior

M. Kinoshita, H. Yokoi, Y. Kakazu, Michiko Watanabe, T. Kawakami
{"title":"Macroscopic quantitative observation of multi-robot behavior","authors":"M. Kinoshita, H. Yokoi, Y. Kakazu, Michiko Watanabe, T. Kawakami","doi":"10.1109/ICCIMA.2001.970466","DOIUrl":null,"url":null,"abstract":"It is very difficult to estimate behaviors of multiple autonomous robots or mutual interactions of them in real time. Therefore, we propose a quantitative observation approach of multiple robots behaviors. This approach introduces thermodynamic macroscopic state values to the multi-robot systems. The advantage of this approach is that it enables to observe the behaviors of autonomous robots in real world and can be mapped to characteristic values in another conceptual state space. Thermodynamic macroscopic state values, such as temperature, pressure and entropy, are defined in mobile robots systems. In our definition, each mobile robot is supposed to have a particle in thermodynamic systems. The experiment shows that the states of robots system can be classified by thermodynamic macroscopic state value. This verifies that the macroscopic quantitative observation is efficient and applicable to control multi-robot systems.","PeriodicalId":232504,"journal":{"name":"Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIMA.2001.970466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

It is very difficult to estimate behaviors of multiple autonomous robots or mutual interactions of them in real time. Therefore, we propose a quantitative observation approach of multiple robots behaviors. This approach introduces thermodynamic macroscopic state values to the multi-robot systems. The advantage of this approach is that it enables to observe the behaviors of autonomous robots in real world and can be mapped to characteristic values in another conceptual state space. Thermodynamic macroscopic state values, such as temperature, pressure and entropy, are defined in mobile robots systems. In our definition, each mobile robot is supposed to have a particle in thermodynamic systems. The experiment shows that the states of robots system can be classified by thermodynamic macroscopic state value. This verifies that the macroscopic quantitative observation is efficient and applicable to control multi-robot systems.
多机器人行为的宏观定量观察
实时估计多个自主机器人的行为或它们之间的相互作用是非常困难的。因此,我们提出了一种多机器人行为的定量观察方法。该方法将热力学宏观状态值引入多机器人系统。这种方法的优点是可以观察到现实世界中自主机器人的行为,并可以映射到另一个概念状态空间中的特征值。在移动机器人系统中,定义了温度、压力和熵等热力学宏观状态值。在我们的定义中,每个移动机器人在热力学系统中应该有一个粒子。实验表明,机器人系统的状态可以通过热力学宏观状态值进行分类。验证了宏观定量观测方法在多机器人系统控制中的有效性和适用性。
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