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

Doris Aschenbrenner; Jonas S.I. Rieder; Daniëlle Van Tol; Joris Van Dam; Zoltan Rusak; Jan Olaf Blech; Mohammad Azangoo; Salo Panu; Karl Kruusamäe; null More Authors

doi:10.1109/AIVR50618.2020.00017

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

Doris Aschenbrenner, Jonas S.I. Rieder, Daniëlle Van Tol, Joris Van Dam, Zoltan Rusak, Jan Olaf Blech, Mohammad Azangoo, Salo Panu, Karl Kruusamäe, More Authors

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

274 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 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.

Original language	English
Title of host publication	Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
Editors	W. Hürst, Ph. C.-Y. Sheu, J.J.P. Tsai
Publisher	IEEE
Pages	43-48
Number of pages	6
ISBN (Electronic)	9781728174631
DOIs	https://doi.org/10.1109/AIVR50618.2020.00017
Publication status	Published - 2020
Event	3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020: MARCH Workshop - Modeling and Animating Realistic Crowds and Humans - Virtual event, Virtual, Utrecht, Netherlands Duration: 14 Dec 2020 → 18 Dec 2020 https://aivr.science.uu.nl/

Publication series

Name	Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020

Conference

Conference	3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
Country/Territory	Netherlands
City	Virtual, Utrecht
Period	14/12/20 → 18/12/20
Internet address	https://aivr.science.uu.nl/

Bibliographical note

Accepted Author Manuscript

Keywords

Augmented Reality
Human Robot Co production
Human Robot Interaction
Industry 4.0
manufacturing
Virtual Reality

Access to Document

10.1109/AIVR50618.2020.00017

210209 AIVR_ImAna_Digital_Twin_Visualization (12)Accepted author manuscript, 3.75 MB

Cite this

Aschenbrenner, D., Rieder, J. S. I., Van Tol, D., Van Dam, J., Rusak, Z., Blech, J. O., Azangoo, M., Panu, S., Kruusamäe, K., & More Authors (2020). Mirrorlabs - Creating accessible Digital Twins of robotic production environment with Mixed Reality. In W. Hürst, P. C.-Y. Sheu, & J. J. P. Tsai (Eds.), Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020 (pp. 43-48). Article 9319071 (Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020). IEEE. https://doi.org/10.1109/AIVR50618.2020.00017

Aschenbrenner, Doris ; Rieder, Jonas S.I. ; Van Tol, Daniëlle et al. / Mirrorlabs - Creating accessible Digital Twins of robotic production environment with Mixed Reality. Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020. editor / W. Hürst ; Ph. C.-Y. Sheu ; J.J.P. Tsai. IEEE, 2020. pp. 43-48 (Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020).

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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. ",

keywords = "Augmented Reality, Human Robot Co production, Human Robot Interaction, Industry 4.0, manufacturing, Virtual Reality",

author = "Doris Aschenbrenner and Rieder, {Jonas S.I.} and {Van Tol}, Dani{\"e}lle and {Van Dam}, Joris and Zoltan Rusak and Blech, {Jan Olaf} and Mohammad Azangoo and Salo Panu and Karl Kruusam{\"a}e and {More Authors}",

note = "Accepted Author Manuscript; 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020 : MARCH Workshop - Modeling and Animating Realistic Crowds and Humans ; Conference date: 14-12-2020 Through 18-12-2020",

year = "2020",

doi = "10.1109/AIVR50618.2020.00017",

language = "English",

series = "Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020",

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Aschenbrenner, D, Rieder, JSI, Van Tol, D, Van Dam, J, Rusak, Z, Blech, JO, Azangoo, M, Panu, S, Kruusamäe, K & More Authors 2020, Mirrorlabs - Creating accessible Digital Twins of robotic production environment with Mixed Reality. in W Hürst, PC-Y Sheu & JJP Tsai (eds), Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020., 9319071, Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, IEEE, pp. 43-48, 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Virtual, Utrecht, Netherlands, 14/12/20. https://doi.org/10.1109/AIVR50618.2020.00017

Mirrorlabs - Creating accessible Digital Twins of robotic production environment with Mixed Reality. / Aschenbrenner, Doris; Rieder, Jonas S.I.; Van Tol, Daniëlle et al.
Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020. ed. / W. Hürst; Ph. C.-Y. Sheu; J.J.P. Tsai. IEEE, 2020. p. 43-48 9319071 (Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

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

AU - Aschenbrenner, Doris

AU - Rieder, Jonas S.I.

AU - Van Tol, Daniëlle

AU - Van Dam, Joris

AU - Rusak, Zoltan

AU - Blech, Jan Olaf

AU - Azangoo, Mohammad

AU - Panu, Salo

AU - Kruusamäe, Karl

AU - More Authors, null

N1 - Accepted Author Manuscript

PY - 2020

Y1 - 2020

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 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.

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 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.

KW - Augmented Reality

KW - Human Robot Co production

KW - Human Robot Interaction

KW - Industry 4.0

KW - manufacturing

KW - Virtual Reality

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M3 - Conference contribution

AN - SCOPUS:85100003957

T3 - Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020

SP - 43

EP - 48

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

A2 - Hürst, W.

A2 - Sheu, Ph. C.-Y.

A2 - Tsai, J.J.P.

PB - IEEE

T2 - 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020

Y2 - 14 December 2020 through 18 December 2020

ER -

Aschenbrenner D, Rieder JSI, Van Tol D, Van Dam J, Rusak Z, Blech JO et al. Mirrorlabs - Creating accessible Digital Twins of robotic production environment with Mixed Reality. In Hürst W, Sheu PCY, Tsai JJP, editors, Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020. IEEE. 2020. p. 43-48. 9319071. (Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020). doi: 10.1109/AIVR50618.2020.00017

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this