Enhancing Robotics Education Through XR Simulation: Insights from the X-RAPT Training Framework
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| Title: | Enhancing Robotics Education Through XR Simulation: Insights from the X-RAPT Training Framework |
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| Authors: | Mulero-Pérez, David, Zambrano-Serrano, Beatriz, Ruiz Zúñiga, Enrique, 1986, Fernandez-Vega, Michael, Garcia-Rodriguez, Jose |
| Source: | X-RAPT (Immersive XR-Based Adaptive Training for Robotics Programming in Assembly and Packaging) Applied Sciences. 15(18) |
| Subject Terms: | collaborative learning, extended reality, industrial training, robotics education, simulation, virtual reality, E-learning, Education computing, Engineering education, Personnel training, Robotics, Simulation platform, Students, User interfaces, Empirical evaluations, Immersive, Interactive training, Technical educations, Training framework, Virtual Production Development (VPD) |
| Description: | Extended reality (XR) technologies are gaining traction in technical education due to their potential for creating immersive and interactive training environments. This study presents the development and empirical evaluation of X-RAPT, a collaborative VR-based platform designed to train students in industrial robotics programming. The system enables multi-user interaction, cross-platform compatibility (VR and PC), and real-time data logging through a modular simulation framework. A pilot evaluation was conducted in a vocational training institute with 15 students performing progressively complex tasks in alternating roles using both VR and PC interfaces. Performance metrics were captured automatically from system logs, while post-task questionnaires assessed usability, comfort, and interaction quality. The findings indicate high user engagement and a distinct learning curve, evidenced by progressively shorter task completion times across levels of increasing complexity. Role-based differences were observed, with main users showing greater interaction frequency but both roles contributing meaningfully. Although hardware demands and institutional constraints limited the scale of the pilot, the findings support the platform’s potential for enhancing robotics education. |
| File Description: | electronic |
| Access URL: | https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25904 https://doi.org/10.3390/app151810020 |
| Database: | SwePub |
Nájsť tento článok vo Web of Science | Abstract: | Extended reality (XR) technologies are gaining traction in technical education due to their potential for creating immersive and interactive training environments. This study presents the development and empirical evaluation of X-RAPT, a collaborative VR-based platform designed to train students in industrial robotics programming. The system enables multi-user interaction, cross-platform compatibility (VR and PC), and real-time data logging through a modular simulation framework. A pilot evaluation was conducted in a vocational training institute with 15 students performing progressively complex tasks in alternating roles using both VR and PC interfaces. Performance metrics were captured automatically from system logs, while post-task questionnaires assessed usability, comfort, and interaction quality. The findings indicate high user engagement and a distinct learning curve, evidenced by progressively shorter task completion times across levels of increasing complexity. Role-based differences were observed, with main users showing greater interaction frequency but both roles contributing meaningfully. Although hardware demands and institutional constraints limited the scale of the pilot, the findings support the platform’s potential for enhancing robotics education. |
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| ISSN: | 10109307 |
| DOI: | 10.3390/app151810020 |