XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality

• Provides no-code mixed reality training for industrial robot maintenance. • Enables multi-user collaboration with synchronized procedural execution. • Uses Unity-based platform with MVP architecture and Zenject dependency injection. • Integrates real-world spatial anchoring via passthrough on MR headsets. • Reduces training costs and risks by replacing physical robots with virtual tasks. XR4MCR is a mixed reality training platform for collaborative industrial robot maintenance. It enables multi-user, no-code scenario creation through a node-based visual editor in a mixed reality environment. Built with Unity and deployed on the VIROO platform, XR4MCR supports synchronized sessions with virtual tools anchored in physical space. Scenarios use interactive nodes, serialized in XML. The platform employs a modular Model-View-Presenter architecture implemented via the Zenject dependency injection framework. It enhances safety, reduces costs, and improves procedural learning. XR4MCR enables hands-on training without real robots or coding, making it an effective platform for early-stage training sessions, supporting vocational education, industrial onboarding, and collaborative XR-based research.

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Publication Details

Journal
SoftwareX
Published
2025-09-01
DOI
https://doi.org/10.1016/j.softx.2025.102348
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
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article

XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality

Yunus Emre ESEN, Uğur Yayan, Kübra YAYAN, Berk Kaan ÇETİNCAN et al.
SoftwareX
Augmented Reality Applications
article

XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality

Yunus Emre ESEN, Uğur Yayan, Kübra YAYAN, Berk Kaan ÇETİNCAN, Özgür BURNAK
article en

Abstract

• Provides no-code mixed reality training for industrial robot maintenance. • Enables multi-user collaboration with synchronized procedural execution. • Uses Unity-based platform with MVP architecture and Zenject dependency injection. • Integrates real-world spatial anchoring via passthrough on MR headsets. • Reduces training costs and risks by replacing physical robots with virtual tasks. XR4MCR is a mixed reality training platform for collaborative industrial robot maintenance. It enables multi-user, no-code scenario creation through a node-based visual editor in a mixed reality environment. Built with Unity and deployed on the VIROO platform, XR4MCR supports synchronized sessions with virtual tools anchored in physical space. Scenarios use interactive nodes, serialized in XML. The platform employs a modular Model-View-Presenter architecture implemented via the Zenject dependency injection framework. It enhances safety, reduces costs, and improves procedural learning. XR4MCR enables hands-on training without real robots or coding, making it an effective platform for early-stage training sessions, supporting vocational education, industrial onboarding, and collaborative XR-based research.

SoftwareXVol. 31
Teknoloji Arastirma ve Gelistirme Endustriyel Urunler Bilisim Teknolojileri San Tic (TR), Eskişehir Osmangazi University (TR)
Openalex Percentile: Top 77%
Augmented Reality Applications
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XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality — Yunus Emre ESEN, Uğur Yayan, et al. · SoftwareX (2025) | TGRS Research Map | TGRS