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Biografia

Fabio Bergonti received the bachelor’s (Hons.) and master’s (Hons.) degrees in Mechanical Engineering from the Politecnico di Milano, Milan, Italy, in 2016 and 2018, respectively, and the Ph.D. degree in Computer Science from the University of Manchester, Manchester, U.K., in 2023. His Ph.D. research was conducted at the Italian Institute of Technology (IIT), Genoa, Italy, under the supervision of Daniele Pucci and Angelo Cangelosi.

During his master’s studies, he conducted his thesis at the Dynamic Interaction and Control Laboratory at IIT, focusing on developing whole-body control algorithms to generate and control jumps of humanoid robots. From 2018 to 2019, he joined the iRonCub group as a Research Fellow, working on the design of a flying humanoid robot.

During his Ph.D., he investigated techniques to integrate adaptive morphology in flying multibody robots. He conducted a Ph.D. secondment at the École Polytechnique Fédérale de Lausanne (EPFL) under the supervision of Dario Floreano, where he studied co-design techniques for drones with morphing capabilities. He is currently a Postdoctoral Researcher at the Artificial Mechanical Intelligence Laboratory at IIT, working on control algorithms for flying humanoid robots and innovative co-design strategies.


All Publications
2024
Wuest V., Jeger S., Feroskhan M., Ajanic E., Bergonti F., Floreano D.
Agile perching maneuvers in birds and morphing-wing drones
Nature Communications, vol. 15, (no. 1)
Article Journal
2024
Bergonti F., Nava G., Wüest V., Paolino A., L'Erario G., Pucci D., Floreano D.
Co-design optimisation of morphing topology and control of winged drones
2024 IEEE International Conference on Robotics and Automation
Conference Paper Conference
2024
Bergonti F., Nava G., Wuest V., Paolino A., L'Erario G., Pucci D., Floreano D.
Co-Design Optimisation of Morphing Topology and Control of Winged Drones
Proceedings - IEEE International Conference on Robotics and Automation, pp. 8679-8685
Conference Paper Conference
2024
Vanteddu P.R., Nava G., Bergonti F., L'Erario G., Paolino A., Pucci D.
From cad to urdf: Co-design of a jet-powered humanoid robot including cad geometry.
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 11325-11331
Article Conference
2024
Sorrentino I., Romualdi G., Bergonti F., L'Erario G., Traversaro S., Pucci D.
Physics-Informed Learning for the Friction Modeling of High-Ratio Harmonic Drives
2024 IEEE-RAS International Conference on Humanoid Robots
Conference Paper Conference