{"title":"基于图像矩的机械手视觉预测控制体系结构","authors":"C. Copot, A. Burlacu, C. Lazar","doi":"10.1109/ISIE.2011.5984289","DOIUrl":null,"url":null,"abstract":"Increasing performances of nonlinear predictive control techniques for visual servoing systems, by using image moments as visual features, is the main goal of this paper. An local model based predictor is developed and the cost function is constructed using a image moments based reference trajectory. A new type of visual predictive control architecture is designed and a simulator is developed. Simulation results for a 6 d.o.f eye-in-hand scheme are revealed.","PeriodicalId":162453,"journal":{"name":"2011 IEEE International Symposium on Industrial Electronics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Visual predictive control architecture based on image moments for manipulator robots\",\"authors\":\"C. Copot, A. Burlacu, C. Lazar\",\"doi\":\"10.1109/ISIE.2011.5984289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasing performances of nonlinear predictive control techniques for visual servoing systems, by using image moments as visual features, is the main goal of this paper. An local model based predictor is developed and the cost function is constructed using a image moments based reference trajectory. A new type of visual predictive control architecture is designed and a simulator is developed. Simulation results for a 6 d.o.f eye-in-hand scheme are revealed.\",\"PeriodicalId\":162453,\"journal\":{\"name\":\"2011 IEEE International Symposium on Industrial Electronics\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Symposium on Industrial Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.2011.5984289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2011.5984289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visual predictive control architecture based on image moments for manipulator robots
Increasing performances of nonlinear predictive control techniques for visual servoing systems, by using image moments as visual features, is the main goal of this paper. An local model based predictor is developed and the cost function is constructed using a image moments based reference trajectory. A new type of visual predictive control architecture is designed and a simulator is developed. Simulation results for a 6 d.o.f eye-in-hand scheme are revealed.