The human-centric Industry 5.0 collaboration architecture.

Area of Science:

• Industrial Engineering
• Human-Computer Interaction
• Artificial Intelligence

Background:

• Industry 4.0 focused on digitalization, while Industry 5.0 prioritizes human-centric, sustainable, and resilient production.
• Industry 5.0 integrates innovative technologies with human actors, shifting from a technology-centric to a value-driven approach.

Purpose of the Study:

• To propose a human-AI collaborative process design and innovation approach for Industry 5.0.
• To develop advanced AI-driven co-creation and collaboration tools.
• To address the integration of diverse agents (human, AI, IoT, robot) in plant-level collaboration.

Main Methods:

• A generic semantic definition and time event-driven process for integrating innovative agents.
• Development of AI techniques for human-in-the-loop optimization.
• Incorporation of cross-checking with alternative feedback loop models.

Main Results:

• Introduction of the Industry 5.0 collaboration architecture (I5arc) with adaptable frameworks and methodologies.
• Establishment of a truly integrated human-AI collaboration model for knowledge creation and sharing.
• Development of tools for human-AI driven co-creation and co-execution of processes.

Conclusions:

• The I5arc framework empowers humans, keeping them in control within industrial plant collaboration processes.
• The methodology enhances plant collaboration by enabling adaptable, generic frameworks for modern knowledge sharing.
• Potential applicability of the human-AI collaboration framework extends beyond industrial plants to other societal contexts.