Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones. - Vlad Niculescu; Lorenzo Lamberti; Daniele Palossi; Luca Benini (AICAS, 2021)

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari; Francesco Conti 001; Lorenzo Lamberti; Enrico Macii; Luca Benini; Massimo Poncino (DAC, 2021)

Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System. - Lorenzo Lamberti; Manuele Rusci; Marco Fariselli; Francesco Paci; Luca Benini (ISCAS, 2021)

Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs. - Vlad Niculescu; Lorenzo Lamberti; Francesco Conti 001; Luca Benini; Daniele Palossi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones. - Lorenzo Lamberti; Vlad Niculescu; Michal Barcis; Lorenzo Bellone; Enrico Natalizio; Luca Benini; Daniele Palossi (AICAS, 2022)

Reducing neural architecture search spaces with training-free statistics and computational graph clustering. - Thorir Mar Ingolfsson; Mark Vero; Xiaying Wang; Lorenzo Lamberti; Luca Benini; Matteo Spallanzani (CF, 2022)

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. - Lorenzo Lamberti; Luca Bompani; Victor Javier Kartsch; Manuele Rusci; Daniele Palossi; Luca Benini (DATE, 2023)

Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. - Mahyar Pourjabar; Manuele Rusci; Luca Bompani; Lorenzo Lamberti; Vlad Niculescu; Daniele Palossi; Luca Benini (ICECS, 2023)

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. - Matteo Risso; Alessio Burrello; Francesco Conti 001; Lorenzo Lamberti; Yukai Chen; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (IEEE Trans. Computers, 2023)

Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs. - Lorenzo Lamberti; Georg Rutishauser; Francesco Conti 001; Luca Benini (ERF (1), 2024)

Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs. - Lorenzo Lamberti; Lorenzo Bellone; Luka Macan; Enrico Natalizio; Francesco Conti 001; Daniele Palossi; Luca Benini (CoRR, 2024)

Circuits and Systems for Embodied AI: Exploring uJ Multi-Modal Perception for Nano-UAVs on the Kraken Shield. - Viviane Potocnik; Alfio Di Mauro; Lorenzo Lamberti; Victor Javier Kartsch; Moritz Scherer 001; Francesco Conti 001; Luca Benini (CoRR, 2024)

Enabling multi-tasking AI-based perception on autonomous nano-UAVS. - Lorenzo Lamberti (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; Agata Barcis; Alessandro Giusti; Francesco Conti 001; Daniele Palossi (IEEE Robotics Autom. Lett., 2024)

Distilling Tiny and Ultrafast Deep Neural Networks for Autonomous Navigation on Nano-UAVs. - Lorenzo Lamberti; Lorenzo Bellone; Luka Macan; Enrico Natalizio; Francesco Conti 001; Daniele Palossi; Luca Benini (IEEE Internet Things J., 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; Agata Barcis; Alessandro Giusti; Francesco Conti 001; Daniele Palossi (IEEE Robotics Autom. Lett., 2024)