most citedLightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge

48 citations · 49 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024

Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs

Lorenzo Lamberti, Lorenzo Bellone, Luka Macan +4

Nano-sized unmanned aerial vehicles (UAVs) are ideal candidates for flying Internet-of-Things smart sensors to collect information in narrow spaces. This requires ultra-fast naviga…

cs.RO2024

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones

Lorenzo Lamberti, Vlad Niculescu, Michał Barcis +4

Pocket-sized autonomous nano-drones can revolutionize many robotic use cases, such as visual inspection in narrow, constrained spaces, and ensure safer human-robot interaction due…

math.OC2024

Regularity results for almost-minimizers of anisotropic free interface problem with Hölder dependence on the position

Luca Esposito, Lorenzo Lamberti, Giovanni Pisante

We establish regularity results for almost-minimizers of a class of variational problems involving both bulk and interface energies. The bulk energy is of Dirichlet type. The surfa…

cs.RO2024

Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs

Lorenzo Lamberti, Georg Rutishauser, Francesco Conti +1

A critical challenge in deploying unmanned aerial vehicles (UAVs) for autonomous tasks is their ability to navigate in an unknown environment. This paper introduces a novel vision-…

cs.RO20231 cited

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones

Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch +3

Nano-sized drones, with palm-sized form factor, are gaining relevance in the Internet-of-Things ecosystem. Achieving a high degree of autonomy for complex multi-objective missions…

cs.LG202348 cited

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge

Matteo Risso, Alessio Burrello, Francesco Conti +6

Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the structure of Deep Learning (DL) models for complex tasks such as Image Classification or Obj…