Optimal event handling by multiple unmanned aerial vehicles

Martijn de Roo; Paolo Frasca; Raffaella Carloni

doi:10.1109/ICRA.2016.7487253

Optimal event handling by multiple unmanned aerial vehicles

Martijn de Roo, Paolo Frasca, Raffaella Carloni

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

6 Downloads (Pure)

Abstract

This paper proposes a control architecture for a fleet of unmanned aerial vehicles that is responsible for handling the events that take place in a given area. The architecture guarantees that each event is handled by the required number of vehicles in the shortest time, while the rest of the fleet is optimally distributed in order to achieve an optimal coverage of the area. Each vehicle is steered to the specified location by a path planner that follows the shortest path while avoiding collisions. The control architecture has been validated both in simulations and in experiments on a fleet of three vehicles.

Original language	Undefined
Title of host publication	Proceedings IEEE International Conference on Robotics and Automation (ICRA 2016)
Place of Publication	USA
Publisher	IEEE
Pages	1230-1236
Number of pages	7
ISBN (Print)	978-1-4673-8026-3
DOIs	https://doi.org/10.1109/ICRA.2016.7487253
Publication status	Published - May 2016
Event	2016 IEEE International Conference on Robotics and Automation, ICRA 2016 - Stockholm, Sweden Duration: 16 May 2016 → 21 May 2016 https://www.icra2016.org/

Publication series

Name
Publisher	IEEE Robotics and Automation Society

Conference

Conference	2016 IEEE International Conference on Robotics and Automation, ICRA 2016
Abbreviated title	ICRA
Country/Territory	Sweden
City	Stockholm
Period	16/05/16 → 21/05/16
Internet address	https://www.icra2016.org/

Keywords

EWI-27221
IR-101453
METIS-318519
EC Grant Agreement nr.: FP7/600958

Access to Document

10.1109/ICRA.2016.7487253

http://eprints.eemcs.utwente.nl/secure2/27221/01/07487253.pdf

Cite this

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title = "Optimal event handling by multiple unmanned aerial vehicles",

abstract = "This paper proposes a control architecture for a fleet of unmanned aerial vehicles that is responsible for handling the events that take place in a given area. The architecture guarantees that each event is handled by the required number of vehicles in the shortest time, while the rest of the fleet is optimally distributed in order to achieve an optimal coverage of the area. Each vehicle is steered to the specified location by a path planner that follows the shortest path while avoiding collisions. The control architecture has been validated both in simulations and in experiments on a fleet of three vehicles.",

keywords = "EWI-27221, IR-101453, METIS-318519, EC Grant Agreement nr.: FP7/600958",

author = "{de Roo}, Martijn and Paolo Frasca and Raffaella Carloni",

note = "eemcs-eprint-27221 ; 2016 IEEE International Conference on Robotics and Automation, ICRA 2016 ; Conference date: 16-05-2016 Through 21-05-2016",

year = "2016",

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doi = "10.1109/ICRA.2016.7487253",

language = "Undefined",

isbn = "978-1-4673-8026-3",

publisher = "IEEE",

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booktitle = "Proceedings IEEE International Conference on Robotics and Automation (ICRA 2016)",

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AU - Frasca, Paolo

AU - Carloni, Raffaella

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N2 - This paper proposes a control architecture for a fleet of unmanned aerial vehicles that is responsible for handling the events that take place in a given area. The architecture guarantees that each event is handled by the required number of vehicles in the shortest time, while the rest of the fleet is optimally distributed in order to achieve an optimal coverage of the area. Each vehicle is steered to the specified location by a path planner that follows the shortest path while avoiding collisions. The control architecture has been validated both in simulations and in experiments on a fleet of three vehicles.

AB - This paper proposes a control architecture for a fleet of unmanned aerial vehicles that is responsible for handling the events that take place in a given area. The architecture guarantees that each event is handled by the required number of vehicles in the shortest time, while the rest of the fleet is optimally distributed in order to achieve an optimal coverage of the area. Each vehicle is steered to the specified location by a path planner that follows the shortest path while avoiding collisions. The control architecture has been validated both in simulations and in experiments on a fleet of three vehicles.

KW - EWI-27221

KW - IR-101453

KW - METIS-318519

KW - EC Grant Agreement nr.: FP7/600958

U2 - 10.1109/ICRA.2016.7487253

DO - 10.1109/ICRA.2016.7487253

M3 - Conference contribution

SN - 978-1-4673-8026-3

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EP - 1236

BT - Proceedings IEEE International Conference on Robotics and Automation (ICRA 2016)

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T2 - 2016 IEEE International Conference on Robotics and Automation, ICRA 2016

Y2 - 16 May 2016 through 21 May 2016

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