Openfund

CORDIS · EMPOWR

Empowering Advanced Manufacturing Workers through Human-Centric Augmentation

Code
EMPOWR
Programme
HORIZON
Call
HORIZON-CL4-INDUSTRY-2025-01-TWIN-TRANSITION-02
Status
SIGNED
Period
2026-06-01 – 2029-05-31
EU contribution (whole consortium)5 978 079 €
EU contribution to Bulgarian participants259 500 €

Official data · CORDIS · synced 2026-10-17 10:16 · official record

Participants

OrganisationsRoleCountryGrant
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIScoordinatorEL850 000 €
ELLINIKO MESOGEIAKO PANEPISTIMIOparticipantEL760 000 €
TECHNISCHE UNIVERSITEIT DELFTparticipantNL580 110 €
INSTITUT MINES-TELECOMparticipantFR460 000 €
AETHON ENGINEERING SINGLE MEMBER PCparticipantEL459 438 €
DEEP BLUE SRLparticipantIT412 500 €
Institute of Entrepreneurship Development Estonia OÜparticipantEE350 000 €
RESILUX ETAIREIA SYSKEYASION NOTIOU EVROPIS ANONYMI VIOMICHANIKI KAI EMPORIKI ETAIREIAparticipantEL279 862 €
ERGOPROLIPSI ETAIREIA PERIORISMENIS EFTHYNISparticipantEL263 500 €
MICROSYSTEMS LTDparticipantBG259 500 €
Koninklijke Fabriek Inventum B.V.participantNL250 198 €
ADVANCED LABORATORY ON EMBEDDED SYSTEMS SRLparticipantIT250 022 €
EIT MANUFACTURING EAST GMBHparticipantAT239 500 €
COLLINS AEROSPACE IRELAND, LIMITEDparticipantIE155 962 €
LIETUVOS PRAMONININKU KONFEDERACIJAparticipantLT150 062 €
HELIXCONNECT EUROPE SRLparticipantRO150 000 €
CREATING INTEGRATED MECHANICALS SYSTEMS AUVERGNE-RHONE-ALPESparticipantFR107 423 €

Description

EMPOWR will advance the vision of Industry 5.0 by placing human workers at the centre of next-generation manufacturing through adaptive augmentation technologies. The project develops a cognitive ecosystem that combines Artificial Intelligence, Augmented Reality, and Digital Twins to enhance worker safety, inclusivity, and productivity in industrial environments. Two pilot cases, namely thermoplastic composite layup in aerospace (Automated Fiber Placement) and smart automated PET preform production, will demonstrate the adaptability of the solutions across both low-volume/high-complexity and automated production contexts. At the core of the ecosystem is ALMA (Adaptive Learning Manufacturing Assistant), a multimodal AI assistant designed to provide real-time, personalised support via natural interaction. ALMA is complemented by an adaptive AR workbench, real-time defect detection, worker intention prediction, and strain monitoring systems, all integrated through a standardised DT framework aligned with IDTA and EU standards. Together, these tools create closed-loop interactions between workers, machines, and management systems, enabling predictive guidance, ergonomic optimisation, and early risk prevention. To ensure inclusivity and acceptance, EMPOWR adopts a Living Labs methodology, engaging workers, managers, and stakeholders in participatory co-design, scenario building, and iterative validation. SSH expertise will shape ethical, psychological, and organisational dimensions, ensuring trust, fairness, and compliance with EU AI and OHS regulations. Expected outcomes include reduced defect rates and downtime, improved ergonomics and well-being, faster worker upskilling through adaptive training modules, and actionable insights for EU Industry 5.0 policies. EMPOWR contributes directly to Europe’s twin green and digital transitions, positioning European manufacturing as more resilient, competitive, and attractive for current and future generations.

Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).