{"title":"基于改进dijkstra算法的机器人路径规划","authors":"S. Julius Fusic, P. Ramkumar, K. Hariharan","doi":"10.1109/NPEC.2018.8476787","DOIUrl":null,"url":null,"abstract":"The robot path planning and trajectory planning were studied and explored for many generations using algorithms. These studies explain to find most efficient path throughout the selected environment is really complicated. In this paper, different environments were created and the modified parameters in Dijkstra algorithm were implemented in a robot for finding an appropriate path for reaching the destination. The mobile robot model was developed using V-REP open-source simulation software and implemented the Dijkstra algorithm for identifying the sub-optimal and collision-free path. The simulated results were showing that the reduction method was effective in terms of time and velocity in the created environments for robot path planning","PeriodicalId":170822,"journal":{"name":"2018 National Power Engineering Conference (NPEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Path planning of robot using modified dijkstra Algorithm\",\"authors\":\"S. Julius Fusic, P. Ramkumar, K. Hariharan\",\"doi\":\"10.1109/NPEC.2018.8476787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The robot path planning and trajectory planning were studied and explored for many generations using algorithms. These studies explain to find most efficient path throughout the selected environment is really complicated. In this paper, different environments were created and the modified parameters in Dijkstra algorithm were implemented in a robot for finding an appropriate path for reaching the destination. The mobile robot model was developed using V-REP open-source simulation software and implemented the Dijkstra algorithm for identifying the sub-optimal and collision-free path. The simulated results were showing that the reduction method was effective in terms of time and velocity in the created environments for robot path planning\",\"PeriodicalId\":170822,\"journal\":{\"name\":\"2018 National Power Engineering Conference (NPEC)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 National Power Engineering Conference (NPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPEC.2018.8476787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 National Power Engineering Conference (NPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPEC.2018.8476787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Path planning of robot using modified dijkstra Algorithm
The robot path planning and trajectory planning were studied and explored for many generations using algorithms. These studies explain to find most efficient path throughout the selected environment is really complicated. In this paper, different environments were created and the modified parameters in Dijkstra algorithm were implemented in a robot for finding an appropriate path for reaching the destination. The mobile robot model was developed using V-REP open-source simulation software and implemented the Dijkstra algorithm for identifying the sub-optimal and collision-free path. The simulated results were showing that the reduction method was effective in terms of time and velocity in the created environments for robot path planning