XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance

The integration of Extended Reality (XR) technologies into Industry 5.0 offers innovative solutions for industrial training by overcoming the limitations of traditional methods, such as high costs, inefficiencies, and production disruptions. These technologies enable immersive and scalable training environments, providing workers with hands-on experience while minimizing risks and resource constraints. This study presents an XR-based training platform designed to enhance workforce skills in health and safety, robotic system operations, and maintenance through immersive Virtual Reality (VR) and Augmented Reality (AR) scenarios. Evaluated by 22 participants from diverse professional backgrounds, the platform achieved a 50% reduction in training time compared to conventional methods, while significantly improving skill acquisition and task efficiency. Participants rated immersive VR environments highly (4.4/5) for engagement and knowledge retention, with usability and instructions also scoring positively (4/5). Scenario-based performance showed the average scores in health and safety tasks (72 points), while robotic system operations (60 points) and maintenance (54 points) reflected increasing task complexity. Despite moderate cognitive demands, the platform effectively balanced mental effort with engagement, providing an accessible and effective training experience. These findings underscore the potential of XR technologies to transform industrial training by enhancing efficiency, safety, and scalability, aligning with the evolving needs of Industry 5.0.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3556699
Citations
1
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
3.53

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article

XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance

Yunus Emre ESEN, Uğur Yayan, Kübra YAYAN, Berk Kaan ÇETİNCAN et al.
1 citations
IEEE Access
Quality and Safety in Healthcare
3.53
article

XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance

Yunus Emre ESEN, Uğur Yayan, Kübra YAYAN, Berk Kaan ÇETİNCAN, Hüseyin Güray Gürlek
article en
1 citations

Abstract

The integration of Extended Reality (XR) technologies into Industry 5.0 offers innovative solutions for industrial training by overcoming the limitations of traditional methods, such as high costs, inefficiencies, and production disruptions. These technologies enable immersive and scalable training environments, providing workers with hands-on experience while minimizing risks and resource constraints. This study presents an XR-based training platform designed to enhance workforce skills in health and safety, robotic system operations, and maintenance through immersive Virtual Reality (VR) and Augmented Reality (AR) scenarios. Evaluated by 22 participants from diverse professional backgrounds, the platform achieved a 50% reduction in training time compared to conventional methods, while significantly improving skill acquisition and task efficiency. Participants rated immersive VR environments highly (4.4/5) for engagement and knowledge retention, with usability and instructions also scoring positively (4/5). Scenario-based performance showed the average scores in health and safety tasks (72 points), while robotic system operations (60 points) and maintenance (54 points) reflected increasing task complexity. Despite moderate cognitive demands, the platform effectively balanced mental effort with engagement, providing an accessible and effective training experience. These findings underscore the potential of XR technologies to transform industrial training by enhancing efficiency, safety, and scalability, aligning with the evolving needs of Industry 5.0.

IEEE AccessVol. 13
Eskişehir Osmangazi University (TR)
HORIZON EUROPE Research Infrastructures
Openalex Percentile: Top 10%
Quality and Safety in Healthcare
3.53
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