{"title":"Near-Optimal Trajectory Planning of a Spherical Mobile Robot for Environment Exploration","authors":"Q. Zhan, Yao Cai, Zengbo Liu","doi":"10.1109/RAMECH.2008.4681380","DOIUrl":null,"url":null,"abstract":"Spherical mobile robot has the characteristics of compact structure and agile motion and is promising to be used in unmanned environment. Designed for environment exploration, a spherical mobile robot BHQ-2 was briefly introduced. The kinematic equation of BHQ-2 was established and its controllability was proved with controllable Lie algebra. Based on the Ritz approximation theory, the near-optimal trajectory of BHQ-2 was planned with the Gauss-Newton algorithm. Simulation results and experimental results of the spherical mobile robot to plan trajectory with the method were presented.","PeriodicalId":320560,"journal":{"name":"2008 IEEE Conference on Robotics, Automation and Mechatronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Conference on Robotics, Automation and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMECH.2008.4681380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
Abstract
Spherical mobile robot has the characteristics of compact structure and agile motion and is promising to be used in unmanned environment. Designed for environment exploration, a spherical mobile robot BHQ-2 was briefly introduced. The kinematic equation of BHQ-2 was established and its controllability was proved with controllable Lie algebra. Based on the Ritz approximation theory, the near-optimal trajectory of BHQ-2 was planned with the Gauss-Newton algorithm. Simulation results and experimental results of the spherical mobile robot to plan trajectory with the method were presented.