no code implementations • 27 Oct 2022 • Biagio Trimarchi, Lorenzo Gentilini, Fabrizio Schiano, Lorenzo Marconi
The presented paper tackles the problem of modeling an unknown function, and its first $r-1$ derivatives, out of scattered and poor-quality data.
1 code implementation • 2 Dec 2020 • Fabian Schilling, Fabrizio Schiano, Dario Floreano
We employ a convolutional neural network to detect and localize nearby agents onboard the quadcopters in real-time.
1 code implementation • 6 May 2020 • Enrica Soria, Fabrizio Schiano, Dario Floreano
Among the available solutions for drone swarm simulations, we identified a gap in simulation frameworks that allow easy algorithms prototyping, tuning, debugging and performance analysis, and do not require the user to interface with multiple programming languages.
Robotics
2 code implementations • 9 Mar 2020 • Jorge Peña Queralta, Carmen Martínez Almansa, Fabrizio Schiano, Dario Floreano, Tomi Westerlund
We show the viability of this system for autonomous flight of UAVs, and provide open-source methods and data that enable its widespread application even with movable anchor systems.
Robotics Systems and Control Systems and Control
no code implementations • 8 Aug 2019 • Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano
Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers.
no code implementations • 3 Sep 2018 • Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano
This paper presents a data-driven approach to learning vision-based collective behavior from a simple flocking algorithm.