基于模糊行为的微型移动机器人控制

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI:10.1109/KES.1998.726012

K. Izumi, Keigo Watanabe, T. Miyazaki

{"title":"基于模糊行为的微型移动机器人控制","authors":"K. Izumi, Keigo Watanabe, T. Miyazaki","doi":"10.1109/KES.1998.726012","DOIUrl":null,"url":null,"abstract":"We have already developed a fuzzy behavior-based control system that combines the concept of subsumption architecture and fuzzy reasoning technique. When applying it to a mobile robot, the robot needs to have precise information such as distance and azimuth. We discuss how to construct the fuzzy behavior-based control system for a miniature mobile robot in the case when the robot can not often receive any information from sensors. In addition, we apply a virus evolutionary genetic algorithm with species to generating the fuzzy rule. The effectiveness of the proposed method is shown by simulations.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Fuzzy behavior-based control for a miniature mobile robot\",\"authors\":\"K. Izumi, Keigo Watanabe, T. Miyazaki\",\"doi\":\"10.1109/KES.1998.726012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have already developed a fuzzy behavior-based control system that combines the concept of subsumption architecture and fuzzy reasoning technique. When applying it to a mobile robot, the robot needs to have precise information such as distance and azimuth. We discuss how to construct the fuzzy behavior-based control system for a miniature mobile robot in the case when the robot can not often receive any information from sensors. In addition, we apply a virus evolutionary genetic algorithm with species to generating the fuzzy rule. The effectiveness of the proposed method is shown by simulations.\",\"PeriodicalId\":394492,\"journal\":{\"name\":\"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KES.1998.726012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KES.1998.726012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 13

摘要

我们已经开发了一种基于模糊行为的控制系统，它结合了包容体系结构的概念和模糊推理技术。当将其应用于移动机器人时，机器人需要有精确的信息，如距离和方位。讨论了在机器人不能经常接收到传感器信息的情况下，如何构建基于模糊行为的微型移动机器人控制系统。此外，我们采用带物种的病毒进化遗传算法来生成模糊规则。仿真结果表明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Fuzzy behavior-based control for a miniature mobile robot

We have already developed a fuzzy behavior-based control system that combines the concept of subsumption architecture and fuzzy reasoning technique. When applying it to a mobile robot, the robot needs to have precise information such as distance and azimuth. We discuss how to construct the fuzzy behavior-based control system for a miniature mobile robot in the case when the robot can not often receive any information from sensors. In addition, we apply a virus evolutionary genetic algorithm with species to generating the fuzzy rule. The effectiveness of the proposed method is shown by simulations.

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

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)

自引率

0.00%

发文量