XR Training in Industry 5.0: Advancing Human-Machine Collaboration with the XR5.0 Training Platform

Abstract. Industrial Training, especially training geared towards Industry 5.0 –

referring to robot and smart machines working alongside people, is an evolving

field, and recent technological advancements in Extended Reality (XR) and Arti-

ficial Intelligence (AI) have propelled interest toward this goal. The combination

of these technologies allows the implementation of immersive, adaptive, and per-

sonalized learning experiences, which can be utilized by the workforce in on- and

off-the-job contexts to address training in increasingly complex industrial systems.

However, the adoption of XR-based training faces several challenges, including

computational demands, latency, usability constraints, and personalization. To

address these limitations, the XR5.0 Training Platform provides a state-of-the-art

cloud infrastructure and AI-enhanced training solution designed to create, man-

age, and display XR content to users with optimized performance and accessibility.

The platform is structured around three (3) core components, namely: (i) the Holo-

light Hub, for managing and orchestrating XR applications enabling low-latency

streaming via a cloud-based infrastructure; (ii) the XR Training Asset Repository

to ensure secure storage of training materials; and (iii) the XR Training Man-

agement System for the creation, management, and visualization of XR-native

training programs. This platform addresses the limitations of existing training

platforms while reducing hardware dependency by adopting a device-agnostic

approach. This ensures a more efficient and scalable training ecosystem, enhanc-

ing workforce alignment with Industry 5.0 environments. This paper presents the

platform’s architecture, key functionalities, and integration strategies while dis-

cussing its potential to transform ind