Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality

Doris Aschenbrenner*, Jonas Rieder, Danielle van Tol, Joris van Dam, Zoltan Rustak, Jan Blech, Mohammad Azangoo, Panu Salo, Karl Kruusamae, Houman Masnavi, Igor Rybalskii, Alvo Aabloo, Marcelo Petry, Gustavo Teixeira, Bastian Thiede, Paolo Pedrazzoli, Andrea Ferrario, Michele Foletti, Matteo Confalonieri, Daniele BertaggiaThodoris Togias, Sotiris Makris

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
71 Downloads (Pure)

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 open-source 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.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
PublisherIEEE
Pages43-48
Number of pages6
ISBN (Electronic)978-1-7281-7463-1
DOIs
Publication statusPublished - 15 Jan 2021
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Artificial Intelligence and Virtual Reality - Virtual conference
Duration: 14 Dec 202018 Dec 2020
Conference number: 3

Conference

ConferenceIEEE International Conference on Artificial Intelligence and Virtual Reality
Abbreviated titleAIVR
CityVirtual conference
Period14/12/202018/12/2020

Keywords

  • Digital twin
  • Mixed reality
  • Robotic
  • Virtual reality
  • ROS
  • Human robot collaboration

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