Reactive navigation of autonomous guided vehicle using fuzzy logic

I. I. Ismail, M. Nordin
{"title":"Reactive navigation of autonomous guided vehicle using fuzzy logic","authors":"I. I. Ismail, M. Nordin","doi":"10.1109/SCORED.2002.1033080","DOIUrl":null,"url":null,"abstract":"In this paper, reactive navigation of an autonomous guided vehicle (AGV) is described using the fuzzy logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses. Fuzzy logic is chosen to control the AGV due to its strength in incorporating the knowledge of an experienced operator. Two fuzzy controllers are designed for controlling the steering angle and speed of the AGV. These will be based on the distance and angle of obstacles. The navigation simulation will be performed using MATLAB.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"44 1","pages":"153-156"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCORED.2002.1033080","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, reactive navigation of an autonomous guided vehicle (AGV) is described using the fuzzy logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses. Fuzzy logic is chosen to control the AGV due to its strength in incorporating the knowledge of an experienced operator. Two fuzzy controllers are designed for controlling the steering angle and speed of the AGV. These will be based on the distance and angle of obstacles. The navigation simulation will be performed using MATLAB.
基于模糊逻辑的自动导航车辆响应导航
本文利用模糊逻辑技术对自动制导车辆的被动导航进行了研究。典型的AGV具有不需要人为干预的有目的地操作和移动的能力,响应式导航是机器人导航方法之一,用于处理机器人所穿越路径信息的不确定性和模糊性。选择模糊逻辑来控制AGV,因为它在结合经验丰富的操作员的知识方面具有优势。设计了两个模糊控制器来控制AGV的转向角度和转向速度。这些将基于障碍物的距离和角度。导航仿真将使用MATLAB进行。
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