Francesco Conti — accepted AI-conference papers

2026

Tiny-DroNeRF: Tiny Neural Radiance Fields Aboard Federated Learning-Enabled Nano-Drones

Ilenia Carboni, Elia Cereda, Lorenzo Lamberti, Daniele Malpetti, Francesco Conti, Daniele Palossi

ICRA 2026poster

Sub-30 g nano-sized aerial robots can leverage their agility and form factor to explore cluttered and narrow environments, like in industrial inspection and search and rescue missions. However, the price for their tiny size is a strong limit in their resources, i.e., sub-100 mW microcontroller units…

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2024

A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing

Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis +4

RA-L 2024

Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles' perception, planning, and control skills. The recent emergence of autonomous nano-sized drone racing imposes new challenges, as their <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http

Cited by 14 Source ↗Scholar ↗

2024

Corrections to "a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing"

Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis +4

RA-L 2024

Presents corrections to the article “a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing”.

Cited by 1 Source ↗Scholar ↗