{"title":"基于Petri网的BUG算法分析","authors":"Alpaslan Yufka, A. Aybar","doi":"10.1109/ELECO.2013.6713894","DOIUrl":null,"url":null,"abstract":"In this study, BUG 1 navigation algorithm which is a simple motion planner, is modelled by the Petri net (PN) for a mobile robot (MR). We prefer this PN model to obtain the discrete data for this algorithm. PN is used as a modelling formalism to define MR's movements such that the step of BUG 1 is constructed by using PN. Thus, all states are obtained the coverability tree. After all coverable marking vectors, the process of PN for BUG 1 is shown step by step on a real MR using the simulation environment of MobileSim.","PeriodicalId":108357,"journal":{"name":"2013 8th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BUG algorithm analysis using Petri net\",\"authors\":\"Alpaslan Yufka, A. Aybar\",\"doi\":\"10.1109/ELECO.2013.6713894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, BUG 1 navigation algorithm which is a simple motion planner, is modelled by the Petri net (PN) for a mobile robot (MR). We prefer this PN model to obtain the discrete data for this algorithm. PN is used as a modelling formalism to define MR's movements such that the step of BUG 1 is constructed by using PN. Thus, all states are obtained the coverability tree. After all coverable marking vectors, the process of PN for BUG 1 is shown step by step on a real MR using the simulation environment of MobileSim.\",\"PeriodicalId\":108357,\"journal\":{\"name\":\"2013 8th International Conference on Electrical and Electronics Engineering (ELECO)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th International Conference on Electrical and Electronics Engineering (ELECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELECO.2013.6713894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Conference on Electrical and Electronics Engineering (ELECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELECO.2013.6713894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this study, BUG 1 navigation algorithm which is a simple motion planner, is modelled by the Petri net (PN) for a mobile robot (MR). We prefer this PN model to obtain the discrete data for this algorithm. PN is used as a modelling formalism to define MR's movements such that the step of BUG 1 is constructed by using PN. Thus, all states are obtained the coverability tree. After all coverable marking vectors, the process of PN for BUG 1 is shown step by step on a real MR using the simulation environment of MobileSim.