Lim Young Cheol, Park Jong Kun, Cho Kyung Young, Kim Eui Sun, Kim Tae Gon, Kim I Gon
{"title":"Performance improvement of material recognition sensor using cubic spline interpolation","authors":"Lim Young Cheol, Park Jong Kun, Cho Kyung Young, Kim Eui Sun, Kim Tae Gon, Kim I Gon","doi":"10.1109/IMTC.1994.352057","DOIUrl":null,"url":null,"abstract":"This paper describes a noble robot sensor designed to recognize an unknown material by measuring thermal conductivity on various ambient temperature. An active sensor to measure the thermal conductivity of a gripped object was designed and the software program to discriminate material was developed with C language. To discriminate material, it is required to make the look-up table in which temperature response of different materials on the various ambient temperature are stored. But it is impractical to store data on the all ambient temperature. Therefore using cubic spline interpolation, we can estimate the temperature response on ambient temperature condition that is not stored in the look-up table.<<ETX>>","PeriodicalId":231484,"journal":{"name":"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.1994.352057","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
This paper describes a noble robot sensor designed to recognize an unknown material by measuring thermal conductivity on various ambient temperature. An active sensor to measure the thermal conductivity of a gripped object was designed and the software program to discriminate material was developed with C language. To discriminate material, it is required to make the look-up table in which temperature response of different materials on the various ambient temperature are stored. But it is impractical to store data on the all ambient temperature. Therefore using cubic spline interpolation, we can estimate the temperature response on ambient temperature condition that is not stored in the look-up table.<>
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