{"title":"Surface-based geometric modeling using teaching trees in consideration of backprojection","authors":"A. Nakamura, T. Ogasawara, H. Tsukune, M. Oshima","doi":"10.1109/ICAR.1997.620301","DOIUrl":null,"url":null,"abstract":"In motion planning of robots, geometric modeling plays an important role. Generally, the shapes of objects such as factory products can be stored in a database, so the elements that need to be decided are positions and orientations. In this paper, surface-based geometric modeling using teaching trees in consideration of backprojection is proposed. In this modeling, teaching trees representing combinations of surfaces for deciding positions and orientations are used. The operator can choose easily one combination out of several compared with the obtained data. Moreover the teaching trees are depth-first based on backprojection which is a method of motion planning, so a geometric model suited to robot motion can be obtained.","PeriodicalId":228876,"journal":{"name":"1997 8th International Conference on Advanced Robotics. Proceedings. ICAR'97","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 8th International Conference on Advanced Robotics. Proceedings. ICAR'97","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAR.1997.620301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In motion planning of robots, geometric modeling plays an important role. Generally, the shapes of objects such as factory products can be stored in a database, so the elements that need to be decided are positions and orientations. In this paper, surface-based geometric modeling using teaching trees in consideration of backprojection is proposed. In this modeling, teaching trees representing combinations of surfaces for deciding positions and orientations are used. The operator can choose easily one combination out of several compared with the obtained data. Moreover the teaching trees are depth-first based on backprojection which is a method of motion planning, so a geometric model suited to robot motion can be obtained.