1.1k citations · 2.1k across the 22 of their papers we have counts for
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Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
Marco Ferri, Dario Mantegazza, Elia Cereda +5
We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synth…
Sensing Anomalies as Potential Hazards: Datasets and Benchmarks
Dario Mantegazza, Carlos Redondo, Fran Espada +3
We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous) with respect to the robo…
On the generation of Metric TSP instances with a large integrality gap by branch-and-cut
Eleonora Vercesi, Stefano Gualandi, Monaldo Mastrolilli +1
This paper introduces a computational method for generating metric Travelling Salesman Problem (TSP) instances having a large integrality gap. The method is based on the solution o…
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem
Umberto Junior Mele, Luca Maria Gambardella, Roberto Montemanni
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred ver…
Machine Learning Constructives and Local Searches for the Travelling Salesman Problem
Tommaso Vitali, Umberto Junior Mele, Luca Maria Gambardella +1
The ML-Constructive heuristic is a recently presented method and the first hybrid method capable of scaling up to real scale traveling salesman problems. It combines machine learni…
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs
Daniele Palossi, Nicky Zimmerman, Alessio Burrello +6
Artificial intelligence-powered pocket-sized air robots have the potential to revolutionize the Internet-of-Things ecosystem, acting as autonomous, unobtrusive, and ubiquitous smar…