{"title":"Local Path Planning And Motion Control For Agv In Positioning","authors":"A. Takahashi, T. Hongo, Y. Ninomiya, G. Sugimoto","doi":"10.1109/IROS.1989.637936","DOIUrl":null,"url":null,"abstract":"Local-path-planning-method has been proposed for positioning autonomous guided vehicles ( AGVs). This method minimizes the cost function to constrain AGV's sudden accel- eration change (jerk). The method allows AGVs to malie the velocity and the curvature of the local path continuous, so that AGVs can smoothly travcl along the path. The mcthod was iriil)lcrrioritctl on tlie CI'U of an cxpciiriic.iitnl vcliic.lc tor posi- tioniiig. It was shown that tlic cxpciiiiicntal vcliiclc ~oiiltl plan the local path in rcal time and travel along the path.","PeriodicalId":332317,"journal":{"name":"Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"69","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1989.637936","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 69
Abstract
Local-path-planning-method has been proposed for positioning autonomous guided vehicles ( AGVs). This method minimizes the cost function to constrain AGV's sudden accel- eration change (jerk). The method allows AGVs to malie the velocity and the curvature of the local path continuous, so that AGVs can smoothly travcl along the path. The mcthod was iriil)lcrrioritctl on tlie CI'U of an cxpciiriic.iitnl vcliic.lc tor posi- tioniiig. It was shown that tlic cxpciiiiicntal vcliiclc ~oiiltl plan the local path in rcal time and travel along the path.