{"title":"基于模糊的室内移动机器人导航避障方法","authors":"Zih-Yang Dang, Jiann-Der Lee","doi":"10.1109/ICCE-TW.2015.7217028","DOIUrl":null,"url":null,"abstract":"This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"261 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy-based obstacle avoidance for a mobile robot navigation in indoor environment\",\"authors\":\"Zih-Yang Dang, Jiann-Der Lee\",\"doi\":\"10.1109/ICCE-TW.2015.7217028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.\",\"PeriodicalId\":340402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"261 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2015.7217028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2015.7217028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy-based obstacle avoidance for a mobile robot navigation in indoor environment
This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.
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