D. Aschenbrenner, Jonas S. I. Rieder, D. V. Tol, J. Dam, Z. Rusák, J. Blech, Mohammad Azangoo, Salo Panu, Karl Kruusamäe, Houman Masnavi, Igor Rybalskii, A. Aabloo, M. Petry, Gustavo Teixeira, B. Thiede, P. Pedrazzoli, Andrea Ferrario, Michele Foletti, Matteo Confalonieri, Daniele Bertaggia, Thodoris Togias, S. Makris
{"title":"Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality","authors":"D. Aschenbrenner, Jonas S. I. Rieder, D. V. Tol, J. Dam, Z. Rusák, J. Blech, Mohammad Azangoo, Salo Panu, Karl Kruusamäe, Houman Masnavi, Igor Rybalskii, A. Aabloo, M. Petry, Gustavo Teixeira, B. Thiede, P. Pedrazzoli, Andrea Ferrario, Michele Foletti, Matteo Confalonieri, Daniele Bertaggia, Thodoris Togias, S. Makris","doi":"10.1109/AIVR50618.2020.00017","DOIUrl":null,"url":null,"abstract":"How to visualize recorded production data in Virtual Reality? How to use state of the art Augmented Reality displays that can show robot data? This paper introduces an opensource ICT framework approach for combining Unity-based Mixed Reality applications with robotic production equipment using ROS Industrial. This publication gives details on the implementation and demonstrates the use as a data analysis tool in the context of scientific exchange within the area of Mixed Reality enabled human-robot co-production.","PeriodicalId":348199,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIVR50618.2020.00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
How to visualize recorded production data in Virtual Reality? How to use state of the art Augmented Reality displays that can show robot data? This paper introduces an opensource ICT framework approach for combining Unity-based Mixed Reality applications with robotic production equipment using ROS Industrial. This publication gives details on the implementation and demonstrates the use as a data analysis tool in the context of scientific exchange within the area of Mixed Reality enabled human-robot co-production.
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