STAR
AI systems in industrial plants must be safe, trusted and secure, even when operating in dynamic, unstructured and unpredictable environments. Ensuring the safety and reliability of these systems is a key prerequisite for deploying them at scale and for fully leveraging the benefits of AI in manufacturing.
STAR is a joint 6m€ collaborative project involving 18 partners from across Europe, including AI and digital manufacturing experts. STAR project outcomes enable the deployment of standards-based, secure, safe, reliable, and trusted human-centric AI systems in real-life manufacturing environments, which are dynamic and unpredictable in nature.
STAR acts as a catalyst for ethical AI deployments in production lines. Specifically, STAR produces technical solutions that boost the safety, robustness and trustworthiness of systems AI in dynamic, real-life settings, while at the same exploring the legal implications of a safe and secure AI in prominent manufacturing scenarios. In this project the RuG team has contributed with:
- a co-creative methodology for the complete lifecycle managment of AI-driven industrial systems with particular attention to Human-AI synergies
- a methodology for evaluating human-centric industrial AI systems
- AI solutions for human-robot co-existens in shared industrial working spaces
- explainable AI (xAI) for vision-based product quality inspection
- methods for assessing production shop floor operators and workers fatigue (physical, mental) when operating in Industry 4.0/Industry 5.0 environments
Check the EU projects fact sheet.
| Last modified: | 13 February 2025 5.15 p.m. |