Publications

This page provides access to a collection of research materials from the SkillAIbility project, including scientific publications, white papers, and conference proceedings. You can explore the publications directly on this page or visit our Zenodo community:

Interpreting Viability Metrics and KPIs in Manufacturing Based on Human-Centricity Approach

The integration of human-centric principles into manufacturing is a key aspect of Industry 5.0, yet existing research lacks a structured approach to measuring its impact on manufacturing viability. This study conducts a systematic literature review to analyze how human-centric strategies—such as worker empowerment, collaboration, and human-AI interaction—are reflected in viability Key Performance Indicators (KPIs). Unlike previous studies that examine viability in broad terms, our review systematically links human-centric principles to measurable KPIs, offering a novel perspective on resilience, adaptability, and sustainability in manufacturing. The findings reveal key gaps in the literature and provide a framework for integrating human-centricity into viability assessments, serving as a foundation for future empirical research and practical applications in manufacturing system design.

A Human-Centric Evaluation of Robotic Solutions in Production and Intralogistics

As robotics continue to revolutionize production and intralogistics, there is a growing need to focus on human-centric approaches aligned with Industry 5.0 to ensure the well-being of workers. This paper presents an evaluation framework for robotic solutions in these settings, emphasizing the importance of human-robot interaction (HRI). By considering a human-centric approach, the study aims to guide organizations in evaluating human-robotic systems that prioritize well-being – including physical, cognitive, and psychosocial aspects – and complement rather than replacing human workers. The research categorizes robotic solutions based on their mobility and interactivity. While insightful, the framework has limitations, such as not fully capturing complex real-world scenarios and is non-exhaustive. The results highlight the positive impacts of HRI on human well-being while also addressing the potential challenges. The proposed evaluation framework provides a practical tool for decision-makers, helping them navigate the complexities of HRI towards human-centric industrial workplaces. This research contributes to the growing body of literature on human-centric robotics, offering valuable insights into the focus on human well-being in industrial settings.

Guidelines for Designing Engineering Education in the Context of Industry 4.0 and 5.0

This paper presents a set of guidelines to facilitate in the design of engineering education in the context of I4.0 and I5.0. Based on current trends, the paper examines the evolving expectations for engineering competencies, consid-ering technological changes and a shift towards more human-centric, sustainable, and resilient industrial systems. Through the integration of a Learning Factory and experiential learning, the authors propose a pedagogical framework tailored to the expectations of higher education and modern industry. Through a multifaceted learning domain, interdisciplinary skills, digital fluency, and soft skills, such as creativity and collaboration, are fostered to prepare engineers for the complexities of future industrial work. The guidelines are informed by literature analysis and practical insights drawn from academic-industry collaborations, to bridge the gap between theoretical education and real-world application.

Dawn of the Human-Only Era: Reframing Human-Centric AI and Workforce Values in the Age of Automation and Symbiosis

This policy brief presents the key outcomes and recommendations from the roundtable session “Dawn of the Human-Only Era”, held during the IFAC MIM 2025 conference in Trondheim, Norway. Supported by the Horizon Europe project SkillAIbility, the session explored how artificial intelligence (AI) can be intentionally integrated into human-centric systems without displacing human agency or values. Experts from academia, industry, and policy debated how to ensure AI enhances — rather than replaces — human work, education, and decision-making. The brief highlights critical findings on transparent and participatory AI, the enduring importance of human oversight, and the need for structural changes in workforce design, education, and regulation. It also outlines actionable policy recommendations focused on explainable AI, hybrid human-AI collaboration models, ethics education, and inclusive governance mechanisms. The document calls for urgent alignment between technological development and forward-looking public policy to build a future where AI supports human empowerment and shared societal values.