基于自组织映射的清洁机器人快速定位算法

Sanghoon Baek, S. Ahn, Se-Young Oh
{"title":"基于自组织映射的清洁机器人快速定位算法","authors":"Sanghoon Baek, S. Ahn, Se-Young Oh","doi":"10.1109/CIRA.2007.382884","DOIUrl":null,"url":null,"abstract":"Recently, localization for mobile robot has been studied a lot. Up to now, most localization systems which are reliable and efficient are equipped with expensive sensors such as laser scanner and high performance CPU with fast computing. But, small and cost effective robot such as service robot for home cleaning cannot be equipped with costly sensor and CPU. This paper proposes localization method which can be implemented with low cost sensors and CPU while tracking robot's pose quickly and correctly using Self-Organizing Map.","PeriodicalId":301626,"journal":{"name":"2007 International Symposium on Computational Intelligence in Robotics and Automation","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fast Localization Algorithm for The Cleaning Robot By Using Self-Organization Map\",\"authors\":\"Sanghoon Baek, S. Ahn, Se-Young Oh\",\"doi\":\"10.1109/CIRA.2007.382884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, localization for mobile robot has been studied a lot. Up to now, most localization systems which are reliable and efficient are equipped with expensive sensors such as laser scanner and high performance CPU with fast computing. But, small and cost effective robot such as service robot for home cleaning cannot be equipped with costly sensor and CPU. This paper proposes localization method which can be implemented with low cost sensors and CPU while tracking robot's pose quickly and correctly using Self-Organizing Map.\",\"PeriodicalId\":301626,\"journal\":{\"name\":\"2007 International Symposium on Computational Intelligence in Robotics and Automation\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Computational Intelligence in Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIRA.2007.382884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Computational Intelligence in Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIRA.2007.382884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

近年来,移动机器人的定位问题得到了广泛的研究。目前,大多数可靠、高效的定位系统都配备了昂贵的传感器,如激光扫描仪和具有快速计算能力的高性能CPU。但是,小型和低成本的机器人,如家庭清洁服务机器人,无法配备昂贵的传感器和CPU。本文提出了一种利用低成本传感器和CPU实现定位的方法,同时利用自组织地图快速准确地跟踪机器人的姿态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Localization Algorithm for The Cleaning Robot By Using Self-Organization Map
Recently, localization for mobile robot has been studied a lot. Up to now, most localization systems which are reliable and efficient are equipped with expensive sensors such as laser scanner and high performance CPU with fast computing. But, small and cost effective robot such as service robot for home cleaning cannot be equipped with costly sensor and CPU. This paper proposes localization method which can be implemented with low cost sensors and CPU while tracking robot's pose quickly and correctly using Self-Organizing Map.
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
×
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:604180095
Book学术官方微信