Work

XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality

Year: 2025

Type: software-paper

Abstract: 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, supporting vocational education, industrial onboarding, and collaborative XR-based research.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102348

Authors: Yunus Emre ESEN, Berk Kaan ÇETİNCAN, Kübra YAYAN, Özgür BURNAK, Uğur YAYAN

Institution: Eskişehir Osmangazi University

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,200