
Leonardo Zacchini
Postdoctoral Researcher

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About me
Ph.D. | Research Fellow at Leonardo Labs
Education

Università degli Studi di Firenze
2018 - 2021Doctor of Philosophy - PhD Mechatronics, Robotics, and Automation EngineeringSensor-driven autonomous inspections and CNN-based Automatic Target Recognition strategies towards underwater full autonomy

Università degli Studi di Firenze
2015 - 2018Master of Science - MS Mechatronics, Robotics, and Automation Engineering 110/110 cum laude
Università degli Studi di Firenze
2011 - 2015Bachelor's degree Electrical, Electronics and Communications Engineering
Experience

Università degli Studi di Firenze
Nov 2021 - Oct 2022Postdoctoral Researcher
Leonardo
Oct 2022 - nowResearch FellowAutonomous Flight
Licenses & Certifications
- View certificate

Strategy Implementation
Copenhagen Business SchoolJun 2025 - View certificate

Strategic Management
Copenhagen Business SchoolFeb 2025 - View certificate

Strategy Formulation
Copenhagen Business SchoolFeb 2025 - View certificate

Foundations of Project Management
GoogleDec 2024 
Deep Reinforcement Learning Course
Hugging FaceMay 2024
Honors & Awards
- Awarded to Leonardo ZacchiniIEEE OES Italy Chapter Award for Outstanding Scientific Contribution 2024 IEEE Oceanic Engineering Society (Italy Chapter) Mar 2025 Recognized among the top 5 scientific works in the field of Oceanic Engineering for 2025, selected by the IEEE OES Italy Chapter for innovation and scientific relevance.Awarded for the research work:Zacchini, L., Topini, A., Franchi, M., Secciani, N., Manzari, V., Bazzarello, L., ... & Ridolfi, A. (2022). Autonomous underwater environment perceiving and modeling: An experimental campaign with feelhippo auv for forward looking sonar-based automatic target recognition and data… Show more Recognized among the top 5 scientific works in the field of Oceanic Engineering for 2025, selected by the IEEE OES Italy Chapter for innovation and scientific relevance.Awarded for the research work:Zacchini, L., Topini, A., Franchi, M., Secciani, N., Manzari, V., Bazzarello, L., ... & Ridolfi, A. (2022). Autonomous underwater environment perceiving and modeling: An experimental campaign with feelhippo auv for forward looking sonar-based automatic target recognition and data association. IEEE Journal of Oceanic Engineering, 48(2), 277-296. Show less
- Awarded to Leonardo ZacchiniIEEE OES Italy Chapter Award for Outstanding Research 2022 IEEE Oceanic Engineering Society (Italy Chapter) Dec 2022 Awarded among the top 5 scientific works related to Oceanic Engineering by young researchers and PhD candidates in 2022.Recognized for the research work:Zacchini, L., Calabrò, V., Candeloro, M., Fanelli, F., Ridolfi, A., & Dukan, F. (2020). Novel noncontinuous carouseling approaches for MEMS-based north seeking using Kalman filter: Theory, simulations, and preliminary experimental evaluation. IEEE/ASME Transactions on Mechatronics, 25(5), 2437-2448.
- Awarded to Leonardo ZacchiniWiley Top Downloaded Article -JOURNAL OF FIELD ROBOTICS Wiley Journal of Field Robotics Dec 2022 Zacchini, L., Franchi, M., & Ridolfi, A. (2022). Sensor‐driven autonomous underwater inspections: A receding‐horizon RRT‐based view planning solution for AUVs. Journal of Field Robotics, 39(5), 499-527.
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