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research article

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

Schiano, Fabrizio  
•
Kornatowski, Przemyslaw Mariusz  
•
Cencetti, Leonardo
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October 1, 2022
IEEE Robotics And Automation Letters

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 dimensions. Here we propose a new reconfigurable drone based on a modular design that adapts to different cargo shapes, sizes, and mass. We also propose a method for the automatic generation of drone configurations and suitable parameters for the flight controller. The parcel becomes the drone's body to which several individual propulsion modules are attached. We demonstrate the use of the reconfigurable hardware and the accompanying software by transporting parcels of different mass and sizes requiring various numbers and propulsion modules' positioning. The experiments are conducted indoors (with a motion capture system) and outdoors (with an RTK-GNSS sensor). The proposed design represents a cheaper and more versatile alternative to the solutions involving several drones for parcel transportation.

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Type
research article
DOI
10.1109/LRA.2022.3208716
Web of Science ID

WOS:000870286300002

Author(s)
Schiano, Fabrizio  
Kornatowski, Przemyslaw Mariusz  
Cencetti, Leonardo
Floreano, Dario  
Date Issued

2022-10-01

Published in
IEEE Robotics And Automation Letters
Volume

7

Issue

4

Start page

12150

End page

12157

Subjects

Robotics

•

Robotics

•

aerial systems: applications

•

cellular

•

field robots

•

industrial robots

•

intelligent transportation systems

•

modular robots

•

unmanned aerial vehicles

•

suspended payloads

•

vision

•

flight

URL

Preprint

https://arxiv.org/abs/2211.08893

Preprint

https://arxiv.org/abs/2211.08893

Preprint

https://arxiv.org/abs/2211.08893

Preprint

https://arxiv.org/abs/2211.08893

Preprint

https://arxiv.org/abs/2211.08893

Preprint

https://arxiv.org/abs/2211.08893

Preprint

https://arxiv.org/abs/2211.08893

Preprint

https://arxiv.org/abs/2211.08893
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIS  
NCCR-ROBOTICS  
Available on Infoscience
November 21, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/192367
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