{"title":"The time optimal path-planning of mobile robots motion respecting the time cost of rotation","authors":"Pavel Škrabánek, M. Mariska, P. Doležel","doi":"10.1109/PC.2015.7169968","DOIUrl":null,"url":null,"abstract":"The paper describes the time optimal path-planning method designed for differential wheeled mobile robots operating on flat ground. The robots are used as support teaching tool by the path-planning problematic exercising. Whereas the exercise is designed for students without any prior knowledge about the path-planning, the graph version of the A* algorithm was chosen as the appropriate algorithm for the problematic introduction. The students are supposed to exercise the path-planning using the evaluation functions of various difficulties. The most complex of them is the evaluation function reflecting both the transportation time and the time required for a robot rotation. Its mathematical formulation is described in the paper and its functionality is shown in three case studies where the shortest time-path between two locations in a labyrinth is required to be found.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 20th International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2015.7169968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The paper describes the time optimal path-planning method designed for differential wheeled mobile robots operating on flat ground. The robots are used as support teaching tool by the path-planning problematic exercising. Whereas the exercise is designed for students without any prior knowledge about the path-planning, the graph version of the A* algorithm was chosen as the appropriate algorithm for the problematic introduction. The students are supposed to exercise the path-planning using the evaluation functions of various difficulties. The most complex of them is the evaluation function reflecting both the transportation time and the time required for a robot rotation. Its mathematical formulation is described in the paper and its functionality is shown in three case studies where the shortest time-path between two locations in a labyrinth is required to be found.