CARE seeks to transform industrial automation by introducing a multi-agent AI system capable of operating autonomously on complex workflows.

Starting with an analysis of the state-of-the-art AI reasoning methods, the project has developed an innovative, high-performance model with strong autonomous capabilities. The core of this system is a team of intelligent agents that each contribute specialized knowledge, enabling a dynamic, integrated management of industrial processes.

The project includes:

• Development of a demonstrative prototype to test the system’s autonomy.
• Application to a real industrial use case to evaluate operational benefits and real-time adaptability.
• Data analysis and publication to share results and promote the adoption of scalable AI solutions across sectors.

Key phases:

• AI state-of-the-art review: Assessment of current reasoning techniques and multi-agent systems.
• Model development and testing: Building and evaluating the autonomous multi-agent prototype.
• Industrial use case application: Testing the system in a real-world scenario.
• Validation and dissemination: Analysis of outcomes, validation of the approach, and publication in scientific and industry journals.