Guillaume Fuseiller, Romain Marie, G. Mourioux, Erick Duno, O. Labbani-Igbida
{"title":"Reactive path planning for collaborative robot using configuration space skeletonization","authors":"Guillaume Fuseiller, Romain Marie, G. Mourioux, Erick Duno, O. Labbani-Igbida","doi":"10.1109/SIMPAR.2018.8376267","DOIUrl":null,"url":null,"abstract":"This paper deals with the problem of on-line and reactive path planning for collaborative robots (cobots). Based on the instantaneous perception of the workspace (provided in this work by a time-of-flight camera), an explicit and real-time construction of the configuration freespace is proposed. To leverage the topological properties of medial axes (graph structure and homotopy preservation), an adapted skeletonization algorithm is then applied, producing a network of safe trajectories, and thus allowing deterministic motion planning in the configuration space. To assert the approach efficiency, experimental and comparative results are proposed both on simulation and real-world scenarios using a SCARA robot model.","PeriodicalId":156498,"journal":{"name":"2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMPAR.2018.8376267","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
This paper deals with the problem of on-line and reactive path planning for collaborative robots (cobots). Based on the instantaneous perception of the workspace (provided in this work by a time-of-flight camera), an explicit and real-time construction of the configuration freespace is proposed. To leverage the topological properties of medial axes (graph structure and homotopy preservation), an adapted skeletonization algorithm is then applied, producing a network of safe trajectories, and thus allowing deterministic motion planning in the configuration space. To assert the approach efficiency, experimental and comparative results are proposed both on simulation and real-world scenarios using a SCARA robot model.