Developing expertise in generative AI–driven CPS? GREET project!

A Marie Skłodowska-Curie Doctoral Network focused on next-generation Cyber-Physical Systems (CPS)

 

GREET is a Doctoral Network that aims developing and training expertise in generative AI–driven CPS that are: Proactive (able to anticipate and adapt), Explainable and transparent (with explanations tailored to different stakeholders), and Cognitively aware of their environment, context, and users. The objective of creating trustworthy CPS for domains such as Industry 5.0, smart cities, healthcare, robotics, and energy systems is intertwined with that of simultaneously training a new generation of doctoral researchers.

Generative AI, explainable AI (XAI), software engineering, and cognitive interaction to create trustworthy CPS

Name of project:
GREET – Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments

Duration:
48 months

Years:
2025 October – 2029 September  

Target markets:
Cyber-Physical Systems (CPS)

Partners:
Edinburgh Napier University, University of Hamburg, Technische Universitaet Wien, Universiteit Antwerpen, Politechnika Bydgoska Im Jana I Jedrzeja Sniadeckich, Intracom Single Member SA Telecom Solutions, AVL LIST GMBH, Seed Cognitiva – Robotics Innovation, Hoare Lea, TQC, ITTI, IRIS Technology Solutions 

Our Solution

Spindox Labs ensures that GREET’s theoretical advances are grounded in industrial practice:

  • Contributes applied R&D expertise in AI, XAI, human–machine interaction, IoT, cloud–edge computing, and cybersecurity.
  • Support technology development, validation, and prototyping, especially for real-world CPS use cases.
  • Host secondments and co-supervise doctoral candidates, strengthening the project’s industry relevance.
  • Facilitate knowledge transfer and exploitation, helping bridge research outcomes toward industrial adoption

Advantages

  • An effective training network powerfully combining the best research training with a range of academic and industrial placements.

  • The creation of a new generation of intelligent, proactive and eco-cognitive cyber-physical systems (CPS).

  • The development of innovative technologies that enable CPS to self-learn, evolve autonomously and interact transparently with other system agents using generative artificial intelligence.

  • Handling services that involve humans in critical situations, e.g., in emergency and hazardous environments

Projects