{"title":"基于视觉的多机器人模糊协调控制","authors":"Li Yang, Zhiqiang Cao, M. Tan, Guoping Liu","doi":"10.1109/RAMECH.2008.4681420","DOIUrl":null,"url":null,"abstract":"This paper proposes a fuzzy coordination control method among a group of distributed robots using only vision. A leading robot moves along a predetermined trajectory, and other robots called coordinators endeavor to establish the relationship with the leader, by keeping the relative distance and visual observation angle. The distance to be kept is adjusted by fuzzy logic, which outputs the velocity of the robot. The experimental results show the validity of the proposed approach.","PeriodicalId":320560,"journal":{"name":"2008 IEEE Conference on Robotics, Automation and Mechatronics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Vision-based Fuzzy Coordination Control for Multiple Robots\",\"authors\":\"Li Yang, Zhiqiang Cao, M. Tan, Guoping Liu\",\"doi\":\"10.1109/RAMECH.2008.4681420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a fuzzy coordination control method among a group of distributed robots using only vision. A leading robot moves along a predetermined trajectory, and other robots called coordinators endeavor to establish the relationship with the leader, by keeping the relative distance and visual observation angle. The distance to be kept is adjusted by fuzzy logic, which outputs the velocity of the robot. The experimental results show the validity of the proposed approach.\",\"PeriodicalId\":320560,\"journal\":{\"name\":\"2008 IEEE Conference on Robotics, Automation and Mechatronics\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Conference on Robotics, Automation and Mechatronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMECH.2008.4681420\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Conference on Robotics, Automation and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMECH.2008.4681420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vision-based Fuzzy Coordination Control for Multiple Robots
This paper proposes a fuzzy coordination control method among a group of distributed robots using only vision. A leading robot moves along a predetermined trajectory, and other robots called coordinators endeavor to establish the relationship with the leader, by keeping the relative distance and visual observation angle. The distance to be kept is adjusted by fuzzy logic, which outputs the velocity of the robot. The experimental results show the validity of the proposed approach.
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