136 citations · 266 across the 18 of their papers we have counts for
5 papers · 1 filter
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration
Mahyar Pourjabar, Manuele Rusci, Luca Bompani +4
This work presents a multi-sensory anti-collision system design to achieve robust autonomous exploration capabilities for a swarm of 10 cm-side nano-drones operating on object dete…
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization
Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci +5
Relative localization is a crucial functional block of any robotic swarm. We address it in a fleet of nano-drones characterized by a 10 cm-scale form factor, which makes them highl…
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems
Manuele Rusci, Tinne Tuytelaars
A personalized KeyWord Spotting (KWS) pipeline typically requires the training of a Deep Learning model on a large set of user-defined speech utterances, preventing fast customizat…
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers
Davide Nadalini, Manuele Rusci, Luca Benini +1
Enabling On-Device Learning (ODL) for Ultra-Low-Power Micro-Controller Units (MCUs) is a key step for post-deployment adaptation and fine-tuning of Deep Neural Network (DNN) models…
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…