Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry

Taru Hakanen; Jaakko Karjalainen; Petri Tikka; Marko Lepola; Heikkilä Markus

Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry

Taru Hakanen^*
, Jaakko Karjalainen
, Petri Tikka
, Marko Lepola
, Heikkilä Markus

^*Corresponding author for this work

BA5604 Smart immersive industrial solutions

Telia Finland Oyj

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

3 Downloads (Pure)

Abstract

This paper provides empirical insights into a new emerging robot-related trend, in which Autonomous Mobile Robots (AMRs) are used for building an industrial metaverse. The aims of this study were to a) develop a technical solution for AMR-enabled metaverse creation, b) to test and demonstrate the solution in a real industrial case, and c) to identify future “factory metaverse” concepts within the automotive industry. This paper presents the new solution combining an AMR-enabled digital shadow (point cloud) creation, transfer of the point cloud to an eXtended Reality (XR) platform, and data visualisation, audio and multi-user interaction in the virtual factory metaverse. The solution was tested and demonstrated in Valmet Automotive’s Innovation Center in Finland. Potential future use cases and concepts were identified through a qualitative case study (n=36). The solution enables remote and multi-user situational awareness and collaboration. Potential use cases for the factory metaverse include, e.g., factory cell and work planning, remote technical support, and safety trainings.

Original language	English
Title of host publication	ICAS 2024 The Twentieth International Conference on Autonomic and Autonomous Systems
Editors	Oliver Michler, Roy Sterritt
Place of Publication	Athens, Greece
Publisher	International Academy, Research, and Industry Association IARIA
Pages	18-24
ISBN (Electronic)	978-1-68558-140-4
Publication status	Published - 12 Mar 2024
MoE publication type	A4 Article in a conference publication
Event	20th International Conference on Autonomic and Autonomous Systems, ICAS 2024 - Athens, Greece Duration: 10 Mar 2024 → 14 Mar 2024

Conference

Conference	20th International Conference on Autonomic and Autonomous Systems, ICAS 2024
Country/Territory	Greece
City	Athens
Period	10/03/24 → 14/03/24

Funding

The MURO and MixedFleet research projects were funded by Business Finland, VTT and the participating companies.

Access to Document

https://www.thinkmind.org/index.php?view=article&articleid=icas_2024_1_30_20012

1 Finished
1 Active

MixedFleet: Shared Situational Awareness for Optimized and Safe Mixed Fleets
Hakanen, T. (Manager), Kemppi, P. (Participant), Karjalainen, J. (Participant), Tikka, P. (Participant), Hentula, M. (Participant), Salo, M. (Participant), Tiusanen, R. (Participant), Malm, T. (Participant) & Berger, J. (Participant)
1/08/23 → 31/12/26
Project: Business Finland project
MURO: Multi-purpose Service Robotics as Operator Business
Hakanen, T. (Manager), Kemppi, P. (Participant), Salo, M. (Participant), Rantala, T. (Participant), Uimonen, M. (Participant), Karjalainen, J. (Participant), Tikka, P. (Participant), Halbach, E. (Participant), Aromaa, S. (Participant), Lammi, H. (Participant), Hakkarainen, M. (Participant), Heikkilä, T. (Participant), Hentula, M. (Participant), Honkamaa, P. (Participant), Kokkonen, A. (Participant), Malm, T. (Participant), Montonen, J. (Participant) & Nuutinen, M. (Participant)
1/03/21 → 30/03/23
Project: Business Finland project

Cite this

Hakanen, T., Karjalainen, J., Tikka, P., Lepola, M., & Markus, H. (2024). Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry. In O. Michler, & R. Sterritt (Eds.), ICAS 2024 The Twentieth International Conference on Autonomic and Autonomous Systems (pp. 18-24). International Academy, Research, and Industry Association IARIA. https://www.thinkmind.org/index.php?view=article&articleid=icas_2024_1_30_20012

Hakanen, Taru ; Karjalainen, Jaakko ; Tikka, Petri et al. / Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry. ICAS 2024 The Twentieth International Conference on Autonomic and Autonomous Systems. editor / Oliver Michler ; Roy Sterritt. Athens, Greece : International Academy, Research, and Industry Association IARIA, 2024. pp. 18-24

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title = "Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry",

abstract = "This paper provides empirical insights into a new emerging robot-related trend, in which Autonomous Mobile Robots (AMRs) are used for building an industrial metaverse. The aims of this study were to a) develop a technical solution for AMR-enabled metaverse creation, b) to test and demonstrate the solution in a real industrial case, and c) to identify future “factory metaverse” concepts within the automotive industry. This paper presents the new solution combining an AMR-enabled digital shadow (point cloud) creation, transfer of the point cloud to an eXtended Reality (XR) platform, and data visualisation, audio and multi-user interaction in the virtual factory metaverse. The solution was tested and demonstrated in Valmet Automotive{\textquoteright}s Innovation Center in Finland. Potential future use cases and concepts were identified through a qualitative case study (n=36). The solution enables remote and multi-user situational awareness and collaboration. Potential use cases for the factory metaverse include, e.g., factory cell and work planning, remote technical support, and safety trainings.",

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Hakanen, T , Karjalainen, J , Tikka, P, Lepola, M & Markus, H 2024, Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry. in O Michler & R Sterritt (eds), ICAS 2024 The Twentieth International Conference on Autonomic and Autonomous Systems. International Academy, Research, and Industry Association IARIA, Athens, Greece, pp. 18-24, 20th International Conference on Autonomic and Autonomous Systems,
ICAS 2024, Athens, Greece, 10/03/24. <https://www.thinkmind.org/index.php?view=article&articleid=icas_2024_1_30_20012>

Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry. / Hakanen, Taru ; Karjalainen, Jaakko ; Tikka, Petri et al.
ICAS 2024 The Twentieth International Conference on Autonomic and Autonomous Systems. ed. / Oliver Michler; Roy Sterritt. Athens, Greece: International Academy, Research, and Industry Association IARIA, 2024. p. 18-24.

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

TY - GEN

T1 - Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry

AU - Hakanen, Taru

AU - Karjalainen, Jaakko

AU - Tikka, Petri

AU - Lepola, Marko

AU - Markus, Heikkilä

PY - 2024/3/12

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N2 - This paper provides empirical insights into a new emerging robot-related trend, in which Autonomous Mobile Robots (AMRs) are used for building an industrial metaverse. The aims of this study were to a) develop a technical solution for AMR-enabled metaverse creation, b) to test and demonstrate the solution in a real industrial case, and c) to identify future “factory metaverse” concepts within the automotive industry. This paper presents the new solution combining an AMR-enabled digital shadow (point cloud) creation, transfer of the point cloud to an eXtended Reality (XR) platform, and data visualisation, audio and multi-user interaction in the virtual factory metaverse. The solution was tested and demonstrated in Valmet Automotive’s Innovation Center in Finland. Potential future use cases and concepts were identified through a qualitative case study (n=36). The solution enables remote and multi-user situational awareness and collaboration. Potential use cases for the factory metaverse include, e.g., factory cell and work planning, remote technical support, and safety trainings.

AB - This paper provides empirical insights into a new emerging robot-related trend, in which Autonomous Mobile Robots (AMRs) are used for building an industrial metaverse. The aims of this study were to a) develop a technical solution for AMR-enabled metaverse creation, b) to test and demonstrate the solution in a real industrial case, and c) to identify future “factory metaverse” concepts within the automotive industry. This paper presents the new solution combining an AMR-enabled digital shadow (point cloud) creation, transfer of the point cloud to an eXtended Reality (XR) platform, and data visualisation, audio and multi-user interaction in the virtual factory metaverse. The solution was tested and demonstrated in Valmet Automotive’s Innovation Center in Finland. Potential future use cases and concepts were identified through a qualitative case study (n=36). The solution enables remote and multi-user situational awareness and collaboration. Potential use cases for the factory metaverse include, e.g., factory cell and work planning, remote technical support, and safety trainings.

M3 - Conference article in proceedings

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BT - ICAS 2024 The Twentieth International Conference on Autonomic and Autonomous Systems

A2 - Michler, Oliver

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Hakanen T , Karjalainen J , Tikka P, Lepola M, Markus H. Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry. In Michler O, Sterritt R, editors, ICAS 2024 The Twentieth International Conference on Autonomic and Autonomous Systems. Athens, Greece: International Academy, Research, and Industry Association IARIA. 2024. p. 18-24

Taking Autonomous Mobile Robots and Humans Into the Industrial Metaverse: An Empirical Study in the Automotive Industry

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Projects

MixedFleet: Shared Situational Awareness for Optimized and Safe Mixed Fleets

MURO: Multi-purpose Service Robotics as Operator Business

Cite this