基于几何拓扑场景地图的多机器人协同探索

Yanqing Wang, Yongquan Li, Wenjun Lu
{"title":"基于几何拓扑场景地图的多机器人协同探索","authors":"Yanqing Wang, Yongquan Li, Wenjun Lu","doi":"10.1109/ICCST53801.2021.00015","DOIUrl":null,"url":null,"abstract":"In view of the advantages and disadvantages of node geometry information and characteristic scene information, this paper proposes multi-robot cooperative exploration based on geometric-topological scene map. Our algorithm adds the geometric information of nodes to the feature scene map, so as to detect and recognize the node loop. Considering the spatial relationship between a single node and different nodes, we use the Hidden Markov Model (HMM) to locate nodes accurately, and use the geometrical-topological feature scene matching method to perform map fusion. The local map fusion of each robot is turned into a problem of geometrical-characteristic scene matching. Finally, the multitask assignment method of market method is used to realize the multi-robot cooperative exploration task on the simulation platform.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-robot Cooperative Exploration Based on Geometric-topological Scene Map\",\"authors\":\"Yanqing Wang, Yongquan Li, Wenjun Lu\",\"doi\":\"10.1109/ICCST53801.2021.00015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of the advantages and disadvantages of node geometry information and characteristic scene information, this paper proposes multi-robot cooperative exploration based on geometric-topological scene map. Our algorithm adds the geometric information of nodes to the feature scene map, so as to detect and recognize the node loop. Considering the spatial relationship between a single node and different nodes, we use the Hidden Markov Model (HMM) to locate nodes accurately, and use the geometrical-topological feature scene matching method to perform map fusion. The local map fusion of each robot is turned into a problem of geometrical-characteristic scene matching. Finally, the multitask assignment method of market method is used to realize the multi-robot cooperative exploration task on the simulation platform.\",\"PeriodicalId\":222463,\"journal\":{\"name\":\"2021 International Conference on Culture-oriented Science & Technology (ICCST)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Culture-oriented Science & Technology (ICCST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCST53801.2021.00015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCST53801.2021.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

针对节点几何信息和特征场景信息的优缺点,提出了基于几何拓扑场景地图的多机器人协同探索方法。我们的算法将节点的几何信息加入到特征场景地图中,从而检测和识别节点环路。考虑到单个节点与不同节点之间的空间关系,采用隐马尔可夫模型(HMM)精确定位节点,并采用几何拓扑特征场景匹配方法进行地图融合。将各机器人的局部地图融合问题转化为几何特征场景匹配问题。最后,利用市场方法中的多任务分配方法,在仿真平台上实现了多机器人协同探索任务。
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
Multi-robot Cooperative Exploration Based on Geometric-topological Scene Map
In view of the advantages and disadvantages of node geometry information and characteristic scene information, this paper proposes multi-robot cooperative exploration based on geometric-topological scene map. Our algorithm adds the geometric information of nodes to the feature scene map, so as to detect and recognize the node loop. Considering the spatial relationship between a single node and different nodes, we use the Hidden Markov Model (HMM) to locate nodes accurately, and use the geometrical-topological feature scene matching method to perform map fusion. The local map fusion of each robot is turned into a problem of geometrical-characteristic scene matching. Finally, the multitask assignment method of market method is used to realize the multi-robot cooperative exploration task on the simulation 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
Lightweight Image Super-Resolution via Dual Feature Aggregation Network Research on Finite-time Control of Motor Systems: Application to Small-scale Cultural Service Complex A Probe into the High-tech Equipment System of Culture and Tourism Integration Industry Comparison of 3D Scene Construction Technologies in Virtual Tourism Calculation and simulation of loudspeaker power based on cultural complex
×
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