Fabio Di Natale

Papers

Total Citations

H-Index

About

Fabio Di Natale is a leading researcher at the intersection of aerial robotics, multibody dynamics, and aerodynamic control. His work focuses on enabling complex, multi-modal locomotion—particularly for flying humanoid and multibody robots—by tackling the fundamental challenge of modeling and compensating for non-negligible aerodynamic forces. In his highly-cited 2022 paper, "Centroidal Aerodynamic Modeling and Control of Flying Multibody Robots" (4 citations), Di Natale pioneered a framework that integrates Computational Fluid Dynamics (CFD) into centroidal dynamics, allowing robots to maintain stability and control during flight under varying aerodynamic conditions. Building on this, his 2025 work, "Learning aerodynamics for the control of flying humanoid robots" (2 citations), introduces data-driven approaches to adaptively model aerodynamic effects, a critical step toward practical, robust flying humanoids. Di Natale’s contributions are shaping the future of versatile, air-ground robots, bridging the gap between theoretical aerodynamics and real-time control. His research is essential reading for anyone working on aerial manipulation, humanoid flight, or multi-modal robotic systems.