Antonio Marino

Antonio’s research focuses on developing learning-based control and coordination strategies for large-scale, heterogeneous multi-agent systems. He is particularly interested in using compositional methods to integrate control theory with machine learning, ensuring provable guarantees on system-wide stability, robustness, and scalability.