K. Jeddisaravi, Reza Javanmard Alitappeh, F. Guimarães
{"title":"基于A*搜索的多目标移动机器人路径规划","authors":"K. Jeddisaravi, Reza Javanmard Alitappeh, F. Guimarães","doi":"10.1109/ICCKE.2016.7802107","DOIUrl":null,"url":null,"abstract":"Finding a path for a robot is a fundamental task in robot motion planning. Depending on applications and robot's capabilities, different objectives can be defined in multi-objective path planning. In this paper, by considering a Mars Rover scenario, we define several real objectives that must be minimized. The objectives for the proposed scenario are to minimize difficulty, danger, elevation, and length of the path from a start to a goal point. A* search algorithm is applied to solve the problem, since it guarantees to find a complete and optimal solution that minimizes the path cost. Simulation results in a simple map and more realistic scenario validate the applicability of the proposed method.","PeriodicalId":205768,"journal":{"name":"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Multi-objective mobile robot path planning based on A* search\",\"authors\":\"K. Jeddisaravi, Reza Javanmard Alitappeh, F. Guimarães\",\"doi\":\"10.1109/ICCKE.2016.7802107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Finding a path for a robot is a fundamental task in robot motion planning. Depending on applications and robot's capabilities, different objectives can be defined in multi-objective path planning. In this paper, by considering a Mars Rover scenario, we define several real objectives that must be minimized. The objectives for the proposed scenario are to minimize difficulty, danger, elevation, and length of the path from a start to a goal point. A* search algorithm is applied to solve the problem, since it guarantees to find a complete and optimal solution that minimizes the path cost. Simulation results in a simple map and more realistic scenario validate the applicability of the proposed method.\",\"PeriodicalId\":205768,\"journal\":{\"name\":\"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCKE.2016.7802107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2016.7802107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-objective mobile robot path planning based on A* search
Finding a path for a robot is a fundamental task in robot motion planning. Depending on applications and robot's capabilities, different objectives can be defined in multi-objective path planning. In this paper, by considering a Mars Rover scenario, we define several real objectives that must be minimized. The objectives for the proposed scenario are to minimize difficulty, danger, elevation, and length of the path from a start to a goal point. A* search algorithm is applied to solve the problem, since it guarantees to find a complete and optimal solution that minimizes the path cost. Simulation results in a simple map and more realistic scenario validate the applicability of the proposed method.