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Robotics and AI-assisted Decision Support for Efficient and Sustainable Remanufacturing and Refurbishment in Electronics towards Circular Transformation

Objetivo

The shift towards a circular and low-carbon industrial economy requires production systems that can flexibly accommodate heterogeneous streams of end-of-life products and components. RESURRECTION addresses this challenge by developing a modular, interoperable, and human-centric framework for AI-driven remanufacturing. Building on advances in robotics, data analytics, and digital infrastructures, the project will enable efficient product diagnosis, robotic disassembly, decision-support for repair and reuse, and full lifecycle traceability, while embedding circular-by-design principles into product development.
At product level, RESURRECTION will introduce methods and software solutions for product state classification, design guidelines for remanufacturability, and Digital Product Passports ensuring transparent and secure information flows. At process level, digital infrastructures will be deployed to orchestrate flexible remanufacturing operations, supported by digital twins for simulation, monitoring, and optimisation, as well as traceability tools for supply network coordination. At resource level, advanced robotic modules and AI-based skill libraries will provide autonomous and adaptable capabilities for disassembly, inspection, and component recovery, enabling hybrid production environments that combine human expertise with robotic precision.
The project further emphasises workforce transformation through an educational platform and immersive training modules for upskilling and reskilling. Operators will be supported during remanufacturing tasks via inclusive human–machine interfaces, while structured learning pathways and certification schemes will enhance long-term employability.
RESURRECTION will be validated through four sectoral pilots covering high-impact applications: electric vehicle batteries, washing machines, industrial robots, and telecommunication devices (modems).

Ámbito científico (EuroSciVoc)

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Programa(s)

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Régimen de financiación

HORIZON-IA - HORIZON Innovation Actions

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Convocatoria de propuestas

(se abrirá en una nueva ventana) HORIZON-CL4-2025-01

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Coordinador

TECHNISCHE UNIVERSITAT DORTMUND
Aportación neta de la UEn
€ 831 500,00
Dirección
AUGUST SCHMIDT STRASSE 4
44227 Dortmund
Alemania
Región
Nordrhein-Westfalen Arnsberg Dortmund, Kreisfreie Stadt
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 831 500,00

Participantes (15)