XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality

ESEN Y. E., ÇETİNCAN B. K., YAYAN K., BURNAK Ö., YAYAN U.

SoftwareX, cilt.31, 2025 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.softx.2025.102348
  • Dergi Adı: SoftwareX
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Anahtar Kelimeler: Collaborative Extended Reality (XR) Systems, Human-Robot Interaction, Industrial Robotics, Mixed Reality Training, No-code Visual Programming, Node-based Scenario Authoring
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.