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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10946891/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850202695421394944 |
|---|---|
| author | Yunus Emre Esen Berk Kaan Cetincan Kubra Yayan Huseyin Guray Gurlek Ugur Yayan |
| author_facet | Yunus Emre Esen Berk Kaan Cetincan Kubra Yayan Huseyin Guray Gurlek Ugur Yayan |
| author_sort | Yunus Emre Esen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0a23a6cedbf84615bce410109d6cdd56 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-0a23a6cedbf84615bce410109d6cdd562025-08-20T02:11:42ZengIEEEIEEE Access2169-35362025-01-0113617086172710.1109/ACCESS.2025.355669910946891XR-Driven Robotic System Training for Occupational Health, Safety, and MaintenanceYunus Emre Esen0https://orcid.org/0000-0001-8319-5605Berk Kaan Cetincan1https://orcid.org/0009-0008-1852-4749Kubra Yayan2https://orcid.org/0000-0001-7003-6437Huseyin Guray Gurlek3https://orcid.org/0009-0003-1412-5664Ugur Yayan4https://orcid.org/0000-0003-1394-5209Lider Teknoloji Geliştirme, Eskişehir, TürkiyeLider Teknoloji Geliştirme, Eskişehir, TürkiyeGeological Engineering Department, Eskişehir Osmangazi University, Eskişehir, TürkiyeLider Teknoloji Geliştirme, Eskişehir, TürkiyeIntelligent Factory and Robotics Laboratory (IFARLAB), Eskişehir Osmangazi University, Eskişehir, TürkiyeThe 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.https://ieeexplore.ieee.org/document/10946891/Augmented realityextended realityhuman-robot collaborationimmersive learningIndustry 5.0virtual reality training |
| spellingShingle | Yunus Emre Esen Berk Kaan Cetincan Kubra Yayan Huseyin Guray Gurlek Ugur Yayan XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance IEEE Access Augmented reality extended reality human-robot collaboration immersive learning Industry 5.0 virtual reality training |
| title | XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance |
| title_full | XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance |
| title_fullStr | XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance |
| title_full_unstemmed | XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance |
| title_short | XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance |
| title_sort | xr driven robotic system training for occupational health safety and maintenance |
| topic | Augmented reality extended reality human-robot collaboration immersive learning Industry 5.0 virtual reality training |
| url | https://ieeexplore.ieee.org/document/10946891/ |
| work_keys_str_mv | AT yunusemreesen xrdrivenroboticsystemtrainingforoccupationalhealthsafetyandmaintenance AT berkkaancetincan xrdrivenroboticsystemtrainingforoccupationalhealthsafetyandmaintenance AT kubrayayan xrdrivenroboticsystemtrainingforoccupationalhealthsafetyandmaintenance AT huseyinguraygurlek xrdrivenroboticsystemtrainingforoccupationalhealthsafetyandmaintenance AT uguryayan xrdrivenroboticsystemtrainingforoccupationalhealthsafetyandmaintenance |