F-formation based navigation planner for a mobile servant robot

Sujeong You, S. Ji
{"title":"F-formation based navigation planner for a mobile servant robot","authors":"Sujeong You, S. Ji","doi":"10.1109/MFI.2017.8170398","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a robotic delivery service in a situation of reception party. For the purpose, we first try to select the goal points to which the mobile servant robot should be positioned according to the social interaction of the recognized group. And we derive a collision-free route which the robot may not disturb people's conversation while moving along with. Finally, we verify the effectiveness of our proposed algorithm with simulation results.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":" 40","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.2017.8170398","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

In this paper, we propose a robotic delivery service in a situation of reception party. For the purpose, we first try to select the goal points to which the mobile servant robot should be positioned according to the social interaction of the recognized group. And we derive a collision-free route which the robot may not disturb people's conversation while moving along with. Finally, we verify the effectiveness of our proposed algorithm with simulation results.
基于f队形的移动服务型机器人导航规划器
在本文中,我们提出了一种接收方情境下的机器人配送服务。为此,我们首先尝试根据识别群体的社会互动选择移动仆人机器人应该定位的目标点。我们得出了一条无碰撞路线,机器人在移动时不会打扰人们的谈话。最后,用仿真结果验证了算法的有效性。
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