L. C. Adams, J. Howard, E. J. Barth, peixiong zhao, R. A. Reed, R. A. Peters, A. Witulski
{"title":"Machine Learning Techniques for Mitigating Sensor Ionizing Dose Failures in Robotic Systems","authors":"L. C. Adams, J. Howard, E. J. Barth, peixiong zhao, R. A. Reed, R. A. Peters, A. Witulski","doi":"10.1109/radecs45761.2018.9328649","DOIUrl":null,"url":null,"abstract":"Machine learning is used to extend performance in robotic systems suffering from TID sensor failure. The method is implemented on a robotic manipulator to demonstrate reconstruction of encoder signals submitted to simulated radiation effects.","PeriodicalId":248855,"journal":{"name":"2018 18th European Conference on Radiation and Its Effects on Components and Systems (RADECS)","volume":"320 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 18th European Conference on Radiation and Its Effects on Components and Systems (RADECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/radecs45761.2018.9328649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Machine learning is used to extend performance in robotic systems suffering from TID sensor failure. The method is implemented on a robotic manipulator to demonstrate reconstruction of encoder signals submitted to simulated radiation effects.
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