{"title":"Poster: Model-based Run-time Variability Resolution for Robotic Applications","authors":"Luca Gherardi, N. Hochgeschwender","doi":"10.1109/ICSE.2015.269","DOIUrl":null,"url":null,"abstract":"In this paper we present our ongoing work on Robotics Run-time Adaptation (RRA). RRA is a model-driven approach that addresses robotics runtime adaptation by modeling and resolving run-time variability of robotic applications.","PeriodicalId":330487,"journal":{"name":"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE.2015.269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper we present our ongoing work on Robotics Run-time Adaptation (RRA). RRA is a model-driven approach that addresses robotics runtime adaptation by modeling and resolving run-time variability of robotic applications.