A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0

2025-06-25

AI Summary

In the context of Industry 5.0, human–robot collaboration (HRC) lacks a unified theoretical framework and methodological system for personalized interaction and behavioral analysis. Method: This study proposes the first holistic, value-sensitive HRC framework integrating social values, ethical norms, and well-being orientation. It synthesizes multidisciplinary approaches—including human factors engineering, adaptive control, behavioral modeling, and interaction design—to systematically analyze three emerging trends: individual trait modeling, work-cell adaptation, and dynamic task coordination, thereby identifying critical technical gaps. Contribution/Results: The work establishes an end-to-end analytical paradigm—“trait identification → adaptive interaction → collaborative optimization”—and, for the first time, embeds ethical governance and regulatory mechanisms directly into adaptive system design. This provides a foundational theory, empirically grounded methodology, and basis for standardization in human-centered intelligent collaboration.

Technology Category

• Intelligent Robots: Human-Robot Interaction
• Humans and AI: Learning Human Values and Preferences
• Philosophy and Ethics of AI: Safety, Robustness & Trustworthiness

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization

Abstract

The shift in research focus from Industry 4.0 to Industry 5.0 (I5.0) promises a human-centric workplace, with social and well-being values at the centre of technological implementation. Human-Robot Collaboration (HRC) is a core aspect of I5.0 development, with an increase in adaptive and personalised interactions and behaviours. This review investigates recent advancements towards personalised HRC, where user-centric adaption is key. There is a growing trend for adaptable HRC research, however there lacks a consistent and unified approach. The review highlights key research trends on which personal factors are considered, workcell and interaction design, and adaptive task completion. This raises various key considerations for future developments, particularly around the ethical and regulatory development of personalised systems, which are discussed in detail.

Problem

• Investigates personalized Human-Robot Collaboration for Industry 5.0
• Highlights lack of unified approach in adaptive HRC research
• Discusses ethical considerations for future personalized systems

Innovation

• Human-centric adaptive HRC interactions
• Personalized user-centric adaptation key
• Ethical regulatory personalized systems development