High-throughput visual nano-drone to nano-drone relative localization using onboard fully convolutional networks

L Crupi, A Giusti, D Palossi - arXiv preprint arXiv:2402.13756, 2024 - arxiv.org
Relative drone-to-drone localization is a fundamental building block for any swarm
operations. We address this task in the context of miniaturized nano-drones, ie, 10cm in …

Training on the Fly: On-Device Self-Supervised Learning Aboard Nano-Drones Within 20mW

E Cereda, A Giusti, D Palossi - IEEE Transactions on Computer …, 2024 - ieeexplore.ieee.org
Miniaturized cyber-physical systems (CPSes) powered by tiny machine learning (TinyML),
such as nano-drones, are becoming an increasingly attractive technology. Their small form …

On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors

E Cereda, M Rusci, A Giusti, D Palossi - arXiv preprint arXiv:2403.04071, 2024 - arxiv.org
Sub-\SI {50}{\gram} nano-drones are gaining momentum in both academia and industry.
Their most compelling applications rely on onboard deep learning models for perception …

CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications

J Blumenkamp, S Morad, J Gielis, A Prorok - arXiv preprint arXiv …, 2024 - arxiv.org
Spatial understanding from vision is crucial for robots operating in unstructured
environments. In the real world, spatial understanding is often an ill-posed problem. There …

Downwash Dynamics: Impact of Separation on Forces, Moments, and Velocities for Dense Quadrotor Flight

A Kiran, N Harutyunyan, N Ayanian… - AIAA AVIATION FORUM …, 2024 - arc.aiaa.org
Quadrotors have gained widespread utility in diverse fields such as search and rescue,
collaborative transportation, remote sensing, and package delivery. The aerodynamic …