{"title":"基于跳越法的移动机械臂最优路径","authors":"B. Matebese, D. Withey, M. Banda","doi":"10.1109/ROBOMECH.2019.8704789","DOIUrl":null,"url":null,"abstract":"This paper deals with finding optimal paths for a mobile manipulator in the presence of obstacles. The motion planning of the robot kinematic system is formulated as an optimal control problem. Applying Pontryagin’s minimum principle, indirect conditions of optimality are derived for the optimal motion planning problem and solved numerically using the Leapfrog method. Simulation results for the mobile manipulator are presented to demonstrate the effectiveness of the proposed method.","PeriodicalId":344332,"journal":{"name":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","volume":"39 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Paths for a Mobile Manipulator using the Leapfrog Method\",\"authors\":\"B. Matebese, D. Withey, M. Banda\",\"doi\":\"10.1109/ROBOMECH.2019.8704789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with finding optimal paths for a mobile manipulator in the presence of obstacles. The motion planning of the robot kinematic system is formulated as an optimal control problem. Applying Pontryagin’s minimum principle, indirect conditions of optimality are derived for the optimal motion planning problem and solved numerically using the Leapfrog method. Simulation results for the mobile manipulator are presented to demonstrate the effectiveness of the proposed method.\",\"PeriodicalId\":344332,\"journal\":{\"name\":\"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)\",\"volume\":\"39 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOMECH.2019.8704789\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOMECH.2019.8704789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Paths for a Mobile Manipulator using the Leapfrog Method
This paper deals with finding optimal paths for a mobile manipulator in the presence of obstacles. The motion planning of the robot kinematic system is formulated as an optimal control problem. Applying Pontryagin’s minimum principle, indirect conditions of optimality are derived for the optimal motion planning problem and solved numerically using the Leapfrog method. Simulation results for the mobile manipulator are presented to demonstrate the effectiveness of the proposed method.
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