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About

Paolo Lunghi is a researcher at Politecnico di Milano’s ASTRA team, specializing in guidance, navigation, and control (GNC) for space missions, with a focus on on-orbit servicing, spacecraft attitude control, and vision-based navigation. His major contributions include developing GNC and robotics systems that integrate simulated vision for on-orbit servicing, as demonstrated in his 2019 work (13 citations), which addresses critical challenges in autonomous satellite maintenance. He has also advanced robust adaptive control strategies for spacecraft and robotics, tackling mass and inertia uncertainties in new space concepts (2022, 3 citations). A standout achievement is his experimental validation of synthetic training sets for deep learning vision-based navigation systems for lunar landing (2020, 2 citations), specifically targeting pinpoint landing at the Moon’s South Pole from 100 km to 3 km altitude. This work showcases his role in pioneering AI-driven navigation for planetary descent. With a career marked by innovative integration of robotics and control theory, Lunghi’s research impacts future autonomous space operations, from satellite servicing to lunar exploration, making him a key contributor to next-generation space mission technologies.