Fabio Curti
Papers
5
Total Citations
54
H-Index
3
About
Fabio Curti is a leading figure in autonomous space systems, whose work bridges advanced guidance, navigation, and control (GNC) with cutting-edge artificial intelligence. His research is centered on enabling spacecraft to operate with unprecedented autonomy, from orbital assembly to planetary landing. Curti’s most impactful contribution is his pioneering work on autonomous multiple spacecraft assembly, where he provided both the theoretical framework and experimental validation for in-plane orbital maneuvers, a foundational study that has garnered 34 citations. He has also made significant strides in planetary exploration, developing a real-time optimal guidance algorithm for soft lunar landing that leverages Particle Swarm Optimization and differential flatness to achieve hazard avoidance. Extending his expertise to Earth observation, Curti has advanced hardware-in-the-loop simulations for disaster monitoring systems, integrating AI accelerators for real-time on-board computation. His work also explores the unique challenge of robotic inspection in extreme environments, such as controlling an indoor blimp within CERN’s magnetic detector cavern. Through these diverse projects, Curti is shaping the future of resilient, intelligent space and robotic systems.
Research Focus
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