{"title":"机器人中的运动规划算法以及基于时间的性能分析","authors":"Shubham Sharma, Sanket Lakhtariya, S. Mehta","doi":"10.1109/RTEICT.2017.8256662","DOIUrl":null,"url":null,"abstract":"A∗ algorithm is well known for finding the shortest path from a starting point to a goal on a given map. This paper presents a method which makes use of it for robotic traversal when there are multiple starts (up to 2) and goals (up to 2), which is based on python. It shows how a customized heuristic matrix for every goal be obtained, which helps cutting down the runtime, for shortest path finding and is the supporting pillar of A∗. For the demonstration of the algorithm, a MATLAB based GUI is used to create a 2D map using which the python based script returns the shortest path. This path is then shown on the GUI.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithmic motion planning in robotics along with time based performance analysis\",\"authors\":\"Shubham Sharma, Sanket Lakhtariya, S. Mehta\",\"doi\":\"10.1109/RTEICT.2017.8256662\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A∗ algorithm is well known for finding the shortest path from a starting point to a goal on a given map. This paper presents a method which makes use of it for robotic traversal when there are multiple starts (up to 2) and goals (up to 2), which is based on python. It shows how a customized heuristic matrix for every goal be obtained, which helps cutting down the runtime, for shortest path finding and is the supporting pillar of A∗. For the demonstration of the algorithm, a MATLAB based GUI is used to create a 2D map using which the python based script returns the shortest path. This path is then shown on the GUI.\",\"PeriodicalId\":342831,\"journal\":{\"name\":\"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTEICT.2017.8256662\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT.2017.8256662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithmic motion planning in robotics along with time based performance analysis
A∗ algorithm is well known for finding the shortest path from a starting point to a goal on a given map. This paper presents a method which makes use of it for robotic traversal when there are multiple starts (up to 2) and goals (up to 2), which is based on python. It shows how a customized heuristic matrix for every goal be obtained, which helps cutting down the runtime, for shortest path finding and is the supporting pillar of A∗. For the demonstration of the algorithm, a MATLAB based GUI is used to create a 2D map using which the python based script returns the shortest path. This path is then shown on the GUI.