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  Bertaggia; Thodoris  Togias; Sotiris  Makris

doi:10.1109/AIVR50618.2020.00017

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 proceeding › Conference article in proceedings › Scientific › peer-review

8 Citations (Scopus)

336 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 language	English
Title of host publication	Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
Publisher	IEEE
Pages	43-48
Number of pages	6
ISBN (Electronic)	978-1-7281-7463-1
DOIs	https://doi.org/10.1109/AIVR50618.2020.00017
Publication status	Published - 15 Jan 2021
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Artificial Intelligence and Virtual Reality - Virtual conference Duration: 14 Dec 2020 → 18 Dec 2020 Conference number: 3

Conference

Conference	IEEE International Conference on Artificial Intelligence and Virtual Reality
Abbreviated title	AIVR
City	Virtual conference
Period	14/12/2020 → 18/12/2020

Keywords

Digital twin
Mixed reality
Robotic
Virtual reality
ROS
Human robot collaboration

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10.1109/AIVR50618.2020.00017

ELEC_Aschenbrenner_etal_Mirrorlabs_Creating_Accessible_AIVR2020_acceptedauthormanuscriptAccepted author manuscript, 3.78 MB

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Aschenbrenner, D., Rieder, J., Tol, D. V., Dam, J. V., Rustak, Z., Blech, J., Azangoo, M., Salo, P., Kruusamae, K., Masnavi, H., Rybalskii, I., Aabloo, A., Petry, M., Teixeira, G., Thiede, B., Pedrazzoli, P., Ferrario, A., Foletti, M., Confalonieri, M., ... Makris, S. (2021). Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality. In Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020 (pp. 43-48). Article 9319071 IEEE. https://doi.org/10.1109/AIVR50618.2020.00017

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title = "Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality",

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.",

keywords = "Digital twin, Mixed reality, Robotic, Virtual reality, ROS, Human robot collaboration",

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

year = "2021",

month = jan,

day = "15",

doi = "10.1109/AIVR50618.2020.00017",

language = "English",

pages = "43--48",

booktitle = "Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020",

publisher = "IEEE",

address = "United States",

note = "IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR ; Conference date: 14-12-2020 Through 18-12-2020",

}

Aschenbrenner, D, Rieder, J, Tol, DV, Dam, JV, Rustak, Z, Blech, J, Azangoo, M, Salo, P, Kruusamae, K, Masnavi, H, Rybalskii, I, Aabloo, A, Petry, M, Teixeira, G, Thiede, B, Pedrazzoli, P, Ferrario, A, Foletti, M, Confalonieri, M, Bertaggia, D, Togias, T & Makris, S 2021, Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality. in Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020., 9319071, IEEE, pp. 43-48, IEEE International Conference on Artificial Intelligence and Virtual Reality, Virtual conference, 14/12/2020. https://doi.org/10.1109/AIVR50618.2020.00017

Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality. / Aschenbrenner, Doris; Rieder, Jonas; Tol, Danielle van et al.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020. IEEE, 2021. p. 43-48 9319071.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality

AU - Aschenbrenner, Doris

AU - Rieder, Jonas

AU - Tol, Danielle van

AU - Dam, Joris van

AU - Rustak, Zoltan

AU - Blech, Jan

AU - Azangoo, Mohammad

AU - Salo, Panu

AU - Kruusamae, Karl

AU - Masnavi, Houman

AU - Rybalskii, Igor

AU - Aabloo, Alvo

AU - Petry, Marcelo

AU - Teixeira, Gustavo

AU - Thiede, Bastian

AU - Pedrazzoli, Paolo

AU - Ferrario, Andrea

AU - Foletti, Michele

AU - Confalonieri, Matteo

AU - Bertaggia, Daniele

AU - Togias, Thodoris

AU - Makris, Sotiris

N1 - Conference code: 3

PY - 2021/1/15

Y1 - 2021/1/15

N2 - 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.

AB - 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.

KW - Digital twin

KW - Mixed reality

KW - Robotic

KW - Virtual reality

KW - ROS

KW - Human robot collaboration

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U2 - 10.1109/AIVR50618.2020.00017

DO - 10.1109/AIVR50618.2020.00017

M3 - Conference article in proceedings

SP - 43

EP - 48

BT - Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020

PB - IEEE

T2 - IEEE International Conference on Artificial Intelligence and Virtual Reality

Y2 - 14 December 2020 through 18 December 2020

ER -

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

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