Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. - Elia Cereda; Luca Crupi; Matteo Risso; Alessio Burrello; Luca Benini; Alessandro Giusti; Daniele Jahier Pagliari; Daniele Palossi (ICRA, 2023)

Sim-to-Real Vision-Depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopters. - Luca Crupi; Elia Cereda; Alessandro Giusti; Daniele Palossi (IROS, 2023)

Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter. - Luca Crupi; Elia Cereda; Alessandro Giusti; Daniele Palossi (CoRR, 2023)

Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. - Beatrice Alessandra Motetti; Luca Crupi; Mustafa Omer Mohammed Elamin Elshaigi; Matteo Risso; Daniele Jahier Pagliari; Daniele Palossi; Alessio Burrello (DATE, 2024)

A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones. - Luca Crupi; Luca Butera; Alberto Ferrante; Daniele Palossi (DCOSS-IoT, 2024)

Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones. - Luca Crupi; Elia Cereda; Daniele Palossi (ERF (1), 2024)

High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks. - Luca Crupi; Alessandro Giusti; Daniele Palossi (ICRA, 2024)

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task. - Mirko Nava; Nicholas Carlotti; Luca Crupi; Daniele Palossi; Alessandro Giusti (IEEE Robotics Autom. Lett., 2024)

An Efficient Ground-aerial Transportation System for Pest Control Enabled by AI-based Autonomous Nano-UAVs. - Luca Crupi; Luca Butera; Alberto Ferrante; Alessandro Giusti; Daniele Palossi (CoRR, 2025)