Person

Fabrizio Schiano

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Related publications (17)

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Hand-worn Haptic Interface for Drone Teleoperation

Dario Floreano, Fabrizio Schiano, Matteo Macchini, Antoine Weber

Drone teleoperation is usually accomplished using remote radio controllers, devices that can be hard to master for inexperienced users. Moreover, the limited amount of information fed back to the user about the robot's state, often limited to vision, can r ...

2020

SwarmLab: a MATLAB Drone Swarm Simulator

Dario Floreano, Fabrizio Schiano, Enrica Soria

Among the available solutions for drone swarm simulations, we identified a lack of simulation frameworks that allow easy algorithms prototyping, tuning, debugging and performance analysis. Moreover, users who want to dive in the research field of drone swa ...

2020

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Besides being part of the Internet of Things (IoT), drones can play a relevant role in it as enablers. The 3D mobility of UAVs can be exploited to improve node localization in IoT networks for, e.g., search and rescue or goods localization and tracking. On ...

2020

UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset

Dario Floreano, Fabrizio Schiano

Small unmanned aerial vehicles (UAV) have penetrated multiple domains over the past years. In GNSS-denied or indoor environments, aerial robots require a robust and stable localization system, often with external feedback, in order to fly safely. Motion ca ...

2020

Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces

Dario Floreano, Fabrizio Schiano, Matteo Macchini

Human-Robot Interfaces (HRIs) can be hard to master for inexperienced users, making the teleoperation of mobile robots a difficult task. The development of Body-Machine Interfaces (BoMIs) represents a promising approach to making a user more proficient, by ...

2019

Learning Vision-based Flight in Drone Swarms by Imitation

Dario Floreano, Fabrizio Schiano, Julien Jean Denis Nicolas Lecoeur, Fabian Maximilian Schilling

Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers. This work proposes an entirely visual approach to coordinate markerless drone swarms based on imitation l ...

2019

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The interest in multi-drone systems flourished in the last decade and their application is promising in many fields. We believe that in order to make drone swarms flying smoothly and reliably in real-world scenarios we need a first intermediate step which ...

2019