EMPOWR results will make the project’s technologies and evidence reusable beyond the pilot environments. The results will include software prototypes, Digital Twin components, adaptive interfaces, worker-centred methodologies, assessment tools, training curricula and policy resources that help manufacturing organisations adopt Industry 5.0 in a responsible and practical way.
EMPOWR advances the integration of AI assistants, adaptive AR, Digital Twins, sensor fusion, edge computing and multimodal interfaces in real manufacturing environments.
An AR interface that delivers task-relevant information through visual overlays and adapts to worker profile, task demands and cognitive load.
AI-assisted models and dashboards that support learning, anticipate needs and adapt assistance over time.
Bio-sensing and sensor fusion components that help monitor fatigue, stress, attention and physical strain in real time.
A standardised framework connecting workers, machines, sensors and management systems to support closed-loop human-machine collaboration.
A toolkit with harmonised KPIs, survey scales and dashboards to evaluate usability, trust, acceptance, safety, inclusion and performance.
Pilot-specific frameworks that map worker skills, readiness and training needs for AI-supported manufacturing environments.
Training curricula with modules and scenarios to support upskilling and adoption of human-centric augmentation technologies.
Guidance addressing ethical concerns, liability, GDPR, EU AI Act alignment, human oversight, fairness and trust in human-AI collaboration.
Policy briefs, abstracts and recommendations to support standardisation and Industry 5.0 policy dialogue.
