{"title":"Recognition of contact state of arrayed type tactile sensor by using neural network","authors":"T. Tanaka, K. Makihira, S. Aoyagi","doi":"10.1109/ICIA.2005.1635050","DOIUrl":null,"url":null,"abstract":"In this research, the output of an arrayed type tactile sensor is simulated by using a finite element method. The information of this output is processed using a neural network, and the 14 types of objects are recognized. This recognition succeeded even if the contact position and the rotation angle of these objects are changed.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Information Acquisition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2005.1635050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this research, the output of an arrayed type tactile sensor is simulated by using a finite element method. The information of this output is processed using a neural network, and the 14 types of objects are recognized. This recognition succeeded even if the contact position and the rotation angle of these objects are changed.