Research Associate · University of Cambridge

Advancing Autonomous Systems through Learning-based Control.

I develop hybrid approaches that merge deep learning with provable control structures, enabling robot teams to coordinate safely in complex, unstructured environments.

Multi-Robot Systems Graph Neural Networks Hybrid Learning & Control Reinforcement Learning
Antonio Marino

News

  • Jun 2026 — 2 IEEE RA-L papers presented at IEEE ICRA 2026.
  • Dec 2025 — PhD dissertation Inria centre at Rennes University.
  • Oct 2025 — Joined the University of Cambridge as a Research Associate.

I am a Postdoctoral Researcher in Computer Science at the University of Cambridge (Prorok Lab). My research merges multi-robot systems with learning-based control to create intelligent, safe, and collaborative autonomous teams.