Lorenzo Bellone

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Temporal Difference

Service Discovery

Reinforcement Learning

Resource Allocation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi
A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing. IEEE Robotics Autom. Lett. 9 (2) (2024)
Lorenzo Lamberti, Lorenzo Bellone, Luka Macan, Enrico Natalizio, Francesco Conti, Daniele Palossi, Luca Benini
Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs. CoRR (2024)
Lorenzo Lamberti, Vlad Niculescu, Michal Barcis, Lorenzo Bellone, Enrico Natalizio, Luca Benini, Daniele Palossi
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones. CoRR (2024)
Leonardo Montecchiari, Angelo Trotta, Lorenzo Gigli, Lorenzo Bellone, Marco Di Felice, Enrico Natalizio
Distributed Service Discovery over Heterogeneous Robotic Systems-of-Systems. DCOSS-IoT (2023)
Réda Alami, Hakim Hacid, Lorenzo Bellone, Michal Barcis, Enrico Natalizio
SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning. AAAI (2023)
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing. CoRR (2023)
Lorenzo Bellone, Boris Galkin, Emiliano Traversi, Enrico Natalizio
Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-Aided RAN-Slicing. DCOSS-IoT (2023)
Lorenzo Bellone, Boris Galkin, Emiliano Traversi, Enrico Natalizio
Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing. CoRR (2022)
Lorenzo Lamberti, Vlad Niculescu, Michal Barcis, Lorenzo Bellone, Enrico Natalizio, Luca Benini, Daniele Palossi
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones. AICAS (2022)