{"title":"Tracking of moving object by manipulator using estimated image feature and its error correction on image planes","authors":"D. Nishio, M. Nakamura, S. Komada, J. Hirai","doi":"10.1109/AMC.2004.1297946","DOIUrl":null,"url":null,"abstract":"This paper proposes a new visual servo system compensating delay time of image processing. To obtain an image feature without delay time, variation of image feature of manipulators during delay time is estimated by a Jacobian matrix from joint velocity to image feature. An image feature of moving object during delay time is estimated from a simple model by using the average velocity/acceleration that are calculated from the past image data. Moreover, its estimation error is reduced by a method based on past estimation error. The effectiveness of the proposed strategy is confirmed by a tracking of a moving object by a manipulator.","PeriodicalId":258936,"journal":{"name":"The 8th IEEE International Workshop on Advanced Motion Control, 2004. AMC '04.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 8th IEEE International Workshop on Advanced Motion Control, 2004. AMC '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMC.2004.1297946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper proposes a new visual servo system compensating delay time of image processing. To obtain an image feature without delay time, variation of image feature of manipulators during delay time is estimated by a Jacobian matrix from joint velocity to image feature. An image feature of moving object during delay time is estimated from a simple model by using the average velocity/acceleration that are calculated from the past image data. Moreover, its estimation error is reduced by a method based on past estimation error. The effectiveness of the proposed strategy is confirmed by a tracking of a moving object by a manipulator.