基于模糊的移动机器人室内导航

Máté Tóth, D. Stojcsics, Zsolt Domozi, I. Lovas
{"title":"基于模糊的移动机器人室内导航","authors":"Máté Tóth, D. Stojcsics, Zsolt Domozi, I. Lovas","doi":"10.1109/SISY.2018.8524842","DOIUrl":null,"url":null,"abstract":"In today's world the expansion of autonomous robots is getting bigger and bigger, while in everyday life the people can meet devices which are capable of managing a wide range of tasks independently. In order to manage tasks these robots are equipped with sensors, which they use to be able to sample and analyze the parameters of their environment. The robots use obtained information to modify and help their own operation or rather its smooth running. Particular autonomous robots navigate themselves using the data utilized for their orientation and if necessary they manage obstacle avoidance in order, that the robot may reach its destination. Such sensors can be cameras too which provide image data of the robot's environment. The navigation procedure to be introduced in the article was developed for a Turtlebot robot utilizing stereo vision. The robot is modularly built. Real-time 3D reconstruction, which is the basis of navigation, is to be introduced in detail in another article yet to be published.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"46 1","pages":"000333-000338"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy Based Indoor Navigation for Mobile Robots\",\"authors\":\"Máté Tóth, D. Stojcsics, Zsolt Domozi, I. Lovas\",\"doi\":\"10.1109/SISY.2018.8524842\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today's world the expansion of autonomous robots is getting bigger and bigger, while in everyday life the people can meet devices which are capable of managing a wide range of tasks independently. In order to manage tasks these robots are equipped with sensors, which they use to be able to sample and analyze the parameters of their environment. The robots use obtained information to modify and help their own operation or rather its smooth running. Particular autonomous robots navigate themselves using the data utilized for their orientation and if necessary they manage obstacle avoidance in order, that the robot may reach its destination. Such sensors can be cameras too which provide image data of the robot's environment. The navigation procedure to be introduced in the article was developed for a Turtlebot robot utilizing stereo vision. The robot is modularly built. Real-time 3D reconstruction, which is the basis of navigation, is to be introduced in detail in another article yet to be published.\",\"PeriodicalId\":6647,\"journal\":{\"name\":\"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)\",\"volume\":\"46 1\",\"pages\":\"000333-000338\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY.2018.8524842\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2018.8524842","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

在当今世界,自主机器人的扩张越来越大,而在日常生活中,人们可以遇到能够独立管理各种任务的设备。为了管理任务,这些机器人配备了传感器,它们使用传感器来采样和分析环境参数。机器人使用获得的信息来修改和帮助自己的操作,或者更确切地说,它的平稳运行。特定的自主机器人使用用于定位的数据进行导航,如果必要的话,它们会按照顺序避开障碍物,使机器人能够到达目的地。这种传感器也可以是摄像头,提供机器人周围环境的图像数据。本文介绍的导航程序是为利用立体视觉的Turtlebot机器人开发的。这个机器人是模块化建造的。实时三维重建是导航的基础,将在另一篇尚未发表的文章中详细介绍。
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
Fuzzy Based Indoor Navigation for Mobile Robots
In today's world the expansion of autonomous robots is getting bigger and bigger, while in everyday life the people can meet devices which are capable of managing a wide range of tasks independently. In order to manage tasks these robots are equipped with sensors, which they use to be able to sample and analyze the parameters of their environment. The robots use obtained information to modify and help their own operation or rather its smooth running. Particular autonomous robots navigate themselves using the data utilized for their orientation and if necessary they manage obstacle avoidance in order, that the robot may reach its destination. Such sensors can be cameras too which provide image data of the robot's environment. The navigation procedure to be introduced in the article was developed for a Turtlebot robot utilizing stereo vision. The robot is modularly built. Real-time 3D reconstruction, which is the basis of navigation, is to be introduced in detail in another article yet to be published.
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
Digital Forensics: Evidence Analysis via Intelligent Systems and Practices DigForASP - CA17124. Challenges and Achievements: Plenary Talk Kinematic quantification of knee joint asymmetry during preparatory phase of a standing backward tucked salto Enhanced Data Modelling Approach with Interval Estimation Cybersecurity Issues in Industrial Control Systems Fuzzy Based Indoor Navigation for Mobile Robots
×
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