PENELOPE White Paper: NOVEL AI-BASED MACHINERY CERTIFICATION METHODOLOGY

Over the past few decades, industrial automation has significantly reshaped manufacturing and labour through the introduction of advanced technologies. In recent years, the European manufacturing landscape has undergone a transformative shift, moving beyond efficient, automated, and data-driven production toward a more human-centric, resilient, and sustainable model—a transition known as the Industry 5.0 paradigm. Industry 5.0 defines the human worker as a pivotal element in production. This paradigm leverages technology to enhance human capabilities rather than replace them, fostering an environment where humans and machines collaborate seamlessly. This transformation is driven by the adoption of collaborative robots (cobots), exoskeletons, and AI, emphasizing cooperation over full automation. Rather than isolating workers from machinery, Industry 5.0 promotes direct human-machine interaction, where industrial equipment is designed to augment human skills, reduce physical strain, and create safer, more adaptive workspaces. While this paradigm shift offers significant benefits—enhanced worker safety, increased productivity, and improved well-being—it also introduces new challenges in industrial production. As cobots, exoskeletons, and AI-driven systems become integral to workplaces, ensuring their certification for industrial use is critical. These technologies must comply with rigorous safety standards, risk assessment protocols, and regulatory frameworks to guarantee that human workers remain protected in increasingly complex industrial environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-23
DOI
https://doi.org/10.5281/zenodo.15270158
Primary Topic
Digital Transformation in Industry
Type
article
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article

PENELOPE White Paper: NOVEL AI-BASED MACHINERY CERTIFICATION METHODOLOGY

Zenodo (CERN European Organization for Nuclear Research)
Digital Transformation in Industry
article

PENELOPE White Paper: NOVEL AI-BASED MACHINERY CERTIFICATION METHODOLOGY

article en

Abstract

Over the past few decades, industrial automation has significantly reshaped manufacturing and labour through the introduction of advanced technologies. In recent years, the European manufacturing landscape has undergone a transformative shift, moving beyond efficient, automated, and data-driven production toward a more human-centric, resilient, and sustainable model—a transition known as the Industry 5.0 paradigm. Industry 5.0 defines the human worker as a pivotal element in production. This paradigm leverages technology to enhance human capabilities rather than replace them, fostering an environment where humans and machines collaborate seamlessly. This transformation is driven by the adoption of collaborative robots (cobots), exoskeletons, and AI, emphasizing cooperation over full automation. Rather than isolating workers from machinery, Industry 5.0 promotes direct human-machine interaction, where industrial equipment is designed to augment human skills, reduce physical strain, and create safer, more adaptive workspaces. While this paradigm shift offers significant benefits—enhanced worker safety, increased productivity, and improved well-being—it also introduces new challenges in industrial production. As cobots, exoskeletons, and AI-driven systems become integral to workplaces, ensuring their certification for industrial use is critical. These technologies must comply with rigorous safety standards, risk assessment protocols, and regulatory frameworks to guarantee that human workers remain protected in increasingly complex industrial environments.

Zenodo (CERN European Organization for Nuclear Research)
University of Patras (GR), Rina Services (Italy) (IT), Tecnalia (ES), Asociación de Investigación Metalúrgica del Noroeste (ES), University of Coimbra (PT)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Digital Transformation in Industry
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PENELOPE White Paper: NOVEL AI-BASED MACHINERY CERTIFICATION METHODOLOGY · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS