Virtual Research Laboratory
Human-Centered AI Digital Twin Platform
A long-term modular research environment integrating digital twins, computer vision, explainable AI, XR and human–robot collaboration.
Overview
Not a single project—a research programme
The platform is the umbrella for connected projects. It makes industrial systems observable, explainable, interactive and human-compatible while supporting experiments, open-source demonstrators, student projects and industrial pilots.
Platform architecture
Five connected layers
Human Interaction XR · collaboration · decision support
Explainable Intelligence feedback · reasoning · trust
Analytics & Computer Vision motion · anomaly · inspection
Digital Twin & Simulation states · process · scenarios
Physical & Data Sources sensors · machines · human activity
Research modules
Ten modular directions
Research objectives
Structured like a European research programme
- Develop a reusable human-centred digital twin architecture.
- Investigate explainable real-time feedback for industrial errors.
- Evaluate learning, performance, trust, workload and usability.
- Integrate XR, computer vision and simulation into open demonstrators.
- Create a foundation for pilots, collaboration, students and funding.
Roadmap
2026–2031
Conveyor twin and motion analysis.
Explainable feedback study.
XR maintenance and inspection.
Human–robot collaboration.
Integrated industry pilots.
International lab network.
Publications
Future outputs
Funding
Future programmes
Open Source
GitHub projects
Partners
Future industry
Students
Future researchers