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The digital transformation of manufacturing within Industry 4.0 and 5.0 emphasizes the integration of physical and virtual systems using extended reality (XR) technologies. Although XR is increasingly adopted for visualization and training, its application in industrial computer control remains fragmented and lacks standardized evaluation. This paper presents a structured synthesis of XR integration in mechanical engineering control systems and proposes an interoperable framework based on open standards, including OpenXR, OPC UA, and IEC 61499. The study follows a PRISMA-based systematic review of literature published between 2015 and 2025 in the Scopus and Web of Science databases. The results indicate that XR-enabled computer control can improve maintenance efficiency, safety, and system understanding, with reported reductions in mean time to repair (15–30%) and improved operator response times. The proposed framework connects XR interfaces with industrial control and IoT platforms, providing guidance for practical deployment in smart manufacturing environments.

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Cross Reality for Computer Control of Technical Systems in Mechanical Engineering

  • 会议论文

  • 发表日期：

    2026年

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  • Myroslav Omelianenko,
  • Jozef Husár,
  • Justyna Trojanowska

摘要

The digital transformation of manufacturing within Industry 4.0 and 5.0 emphasizes the integration of physical and virtual systems using extended reality (XR) technologies. Although XR is increasingly adopted for visualization and training, its application in industrial computer control remains fragmented and lacks standardized evaluation. This paper presents a structured synthesis of XR integration in mechanical engineering control systems and proposes an interoperable framework based on open standards, including OpenXR, OPC UA, and IEC 61499. The study follows a PRISMA-based systematic review of literature published between 2015 and 2025 in the Scopus and Web of Science databases. The results indicate that XR-enabled computer control can improve maintenance efficiency, safety, and system understanding, with reported reductions in mean time to repair (15–30%) and improved operator response times. The proposed framework connects XR interfaces with industrial control and IoT platforms, providing guidance for practical deployment in smart manufacturing environments.