基于刚性编队的多机器人动态编队方案

Jinglun Feng, Cheng-jin Zhang, Yong Song, Ting Chi
{"title":"基于刚性编队的多机器人动态编队方案","authors":"Jinglun Feng, Cheng-jin Zhang, Yong Song, Ting Chi","doi":"10.1109/ICINFA.2016.7832047","DOIUrl":null,"url":null,"abstract":"A method that optimizes formation control and obstacle avoidance strategy in restricted environment is proposed in this paper. First, in order to maintain the formation while avoiding obstacles under the restricted environment, rigid formation control is implemented as the solution. Second, comparing with static changing of formation, this method takes the width of the obstacle zone into consideration. With a formation base is proposed in this paper, multi-robot is able to adjust the formation from formation base based on real-time feedbacks. Finally, the feasibility of this method is proven by a number of simulations conducted on the AmigoBot robot platform.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A multi-robot dynamic formation scheme based on rigid formation\",\"authors\":\"Jinglun Feng, Cheng-jin Zhang, Yong Song, Ting Chi\",\"doi\":\"10.1109/ICINFA.2016.7832047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method that optimizes formation control and obstacle avoidance strategy in restricted environment is proposed in this paper. First, in order to maintain the formation while avoiding obstacles under the restricted environment, rigid formation control is implemented as the solution. Second, comparing with static changing of formation, this method takes the width of the obstacle zone into consideration. With a formation base is proposed in this paper, multi-robot is able to adjust the formation from formation base based on real-time feedbacks. Finally, the feasibility of this method is proven by a number of simulations conducted on the AmigoBot robot platform.\",\"PeriodicalId\":389619,\"journal\":{\"name\":\"2016 IEEE International Conference on Information and Automation (ICIA)\",\"volume\":\"62 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 IEEE International Conference on Information and Automation (ICIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2016.7832047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2016.7832047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

提出了一种在受限环境下优化队形控制和避障策略的方法。首先,为了在受限环境下既能保持队形又能避开障碍物,采用刚性队形控制作为解决方案。其次,与静态队形变化相比,该方法考虑了障碍物区域的宽度。本文提出了一个编队基础,多机器人可以根据实时反馈从编队基础上调整编队。最后,在AmigoBot机器人平台上进行了多次仿真,验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A multi-robot dynamic formation scheme based on rigid formation
A method that optimizes formation control and obstacle avoidance strategy in restricted environment is proposed in this paper. First, in order to maintain the formation while avoiding obstacles under the restricted environment, rigid formation control is implemented as the solution. Second, comparing with static changing of formation, this method takes the width of the obstacle zone into consideration. With a formation base is proposed in this paper, multi-robot is able to adjust the formation from formation base based on real-time feedbacks. Finally, the feasibility of this method is proven by a number of simulations conducted on the AmigoBot robot platform.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Morphological component decomposition combined with compressed sensing for image compression An adaptive nonlinear iterative sliding mode controller based on heuristic critic algorithm Analysis of static and dynamic real-time precise point positioning and precision based on SSR correction High-performance motion control of an XY stage for complicated contours with BFC trajectory planning An improved swarm intelligence algorithm for multirate systems state estimation using the canonical state space models
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1