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20182026
most citedUWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset

140 citations · 247 across the 9 of their papers we have counts for

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12 papers · 1 filter

cs.RO2026

MROPE: A Multi-Robot Safe Cooperative Strategy via combined Predictive Safety Filters and Ellipse-based Constraint Compression

Alice Rosetti, Lorenzo Pichierri, Domenico Cappello +2

Deploying drone swarms to track a dynamic target in cluttered environments presents severe computational and safety challenges. We propose MROPE, a hierarchical strategy that decou…

cs.RO2022★ 36 cited

Reconfigurable Drone System for Transportation of Parcels With Variable Mass and Size

Fabrizio Schiano, Przemyslaw Mariusz Kornatowski, Leonardo Cencetti +1

Cargo drones are designed to carry payloads with predefined shape, size, and/or mass. This lack of flexibility requires a fleet of diverse drones tailored to specific cargo dimensi…

cs.RO2021

Personalized Human-Swarm Interaction through Hand Motion

Matteo Macchini, Ludovic De Matteïs, Fabrizio Schiano +1

The control of collective robotic systems, such as drone swarms, is often delegated to autonomous navigation algorithms due to their high dimensionality. However, like other roboti…

cs.RO2021

The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation

Matteo Macchini, Manana Lortkipanidze, Fabrizio Schiano +1

The operation of telerobotic systems can be a challenging task, requiring intuitive and efficient interfaces to enable inexperienced users to attain a high level of proficiency. Bo…

cs.RO2020

Vision-based Drone Flocking in Outdoor Environments

Fabian Schilling, Fabrizio Schiano, Dario Floreano

Decentralized deployment of drone swarms usually relies on inter-agent communication or visual markers that are mounted on the vehicles to simplify their mutual detection. This let…

cs.RO2020★ 2 cited

Does spontaneous motion lead to intuitive Body-Machine Interfaces? A fitness study of different body segments for wearable telerobotics

Matteo Macchini, Jan Frogg, Fabrizio Schiano +1

Human-Robot Interfaces (HRIs) represent a crucial component in telerobotic systems. Body-Machine Interfaces (BoMIs) based on body motion can feel more intuitive than standard HRIs…

cs.RO2020★ 15 cited

VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems

Jorge Peña Queralta, Li Qingqing, Fabrizio Schiano +1

Effective collaboration in multi-robot systems requires accurate and robust estimation of relative localization: from cooperative manipulation to collaborative sensing, and includi…

cs.RO2020

SwarmLab: a Matlab Drone Swarm Simulator

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 an…

cs.RO2020★ 37 cited

Hand-worn Haptic Interface for Drone Teleoperation

Matteo Macchini, Thomas Havy, Antoine Weber +2

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…

cs.RO2020★ 140 cited

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

Jorge Peña Queralta, Carmen Martínez Almansa, Fabrizio Schiano +2

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 localiza…

cs.RO2019

Learning Vision-based Flight in Drone Swarms by Imitation

Fabian Schilling, Julien Lecoeur, Fabrizio Schiano +1

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 entirel…

cs.RO2018★ 16 cited

Learning Vision-based Cohesive Flight in Drone Swarms

Fabian Schilling, Julien Lecoeur, Fabrizio Schiano +1

This paper presents a data-driven approach to learning vision-based collective behavior from a simple flocking algorithm. We simulate a swarm of quadrotor drones and formulate the…