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Modern manufacturing demands high-precision yet adaptable quality inspection while preserving human expertise. This paper presents AR-HAIRC 5.0, a human-centric AR collaboration model for Industry 5.0 that integrates on-site operators, AI-driven assistants, and remote experts within an adaptive loop of sensing, analysis, decision-making, action, and learning. We introduce a conceptual model and its logical architecture comprising an AR Inspection Assistant, a Remote Expert Console, and a Core Coordination Platform managing synchronization and data flows with enterprise quality management systems. We propose the implementation of a Meta Quest 3 prototype which will include AR guidance overlays, real-time AI suggestions, remote expert assistance, configurable support levels, and gamification. A case study with MCG, a Portuguese metalworking partner, elicited functional requirements and informed a planned evaluation involving usability testing, performance metrics, and qualitative feedback. This work establishes an approach for scalable, AI-augmented, human-centred inspection in next-generation smart factories.

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Augmented Reality-Based Human-AI Remote Collaboration Model for Industry 5.0

  • 会议论文

  • 发表日期：

    2026年

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  • Rui Neves Madeira,
  • Gabriel Marques,
  • Pedro Albuquerque Santos,
  • Patricia Macedo

摘要

Modern manufacturing demands high-precision yet adaptable quality inspection while preserving human expertise. This paper presents AR-HAIRC 5.0, a human-centric AR collaboration model for Industry 5.0 that integrates on-site operators, AI-driven assistants, and remote experts within an adaptive loop of sensing, analysis, decision-making, action, and learning. We introduce a conceptual model and its logical architecture comprising an AR Inspection Assistant, a Remote Expert Console, and a Core Coordination Platform managing synchronization and data flows with enterprise quality management systems. We propose the implementation of a Meta Quest 3 prototype which will include AR guidance overlays, real-time AI suggestions, remote expert assistance, configurable support levels, and gamification. A case study with MCG, a Portuguese metalworking partner, elicited functional requirements and informed a planned evaluation involving usability testing, performance metrics, and qualitative feedback. This work establishes an approach for scalable, AI-augmented, human-centred inspection in next-generation smart factories.