A framework for a hierarchical model of cooperation between unmanned airplanes

In this article we propose a framework for a hierarchical model for cooperation between unmanned airplanes in large groups. We argue that the swarm approach to cooperation between a large number of mobile robots is ineffective when robots can be equipped with efficient communication, precise locatio...

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Main Authors: Pawel Rotter, Wojciech Chmiel
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.1080/22797254.2018.1425600
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spelling doaj-09e5cd9f53c34a20b44501347ee5c0c92020-11-25T02:54:00ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542018-01-0151127628410.1080/22797254.2018.14256001425600A framework for a hierarchical model of cooperation between unmanned airplanesPawel Rotter0Wojciech Chmiel1AGH University of Science and TechnologyAGH University of Science and TechnologyIn this article we propose a framework for a hierarchical model for cooperation between unmanned airplanes in large groups. We argue that the swarm approach to cooperation between a large number of mobile robots is ineffective when robots can be equipped with efficient communication, precise location hardware and with complex control algorithms. The proposed model, analogous to the organisation of a team of people, is an intermediate solution, between the swarm approach and central control. The bottom layer of the model includes unmanned airplanes that perform tasks related to the mission goals, such as capturing images, looking for objects through image analysis, etc. These airplanes are organised in teams, and each team is controlled by the superior airplane. Two top layers are ground-based: the central computer and the human operator, and their functions are mostly defining the goals, planning and optimisation of the mission. We present two examples of response to events, related to failure or loss of an airplane. We discuss how the proposed model can manage possible interruptions of communication and security issues, and how collision avoidance can be implemented. Finally, we point out that, although the control structure is different than in the swarm approach, swarm intelligence can still be used to optimise missions.http://dx.doi.org/10.1080/22797254.2018.1425600Unmanned aerial vehiclesautonomous robot cooperationaerial surveillance systems
collection DOAJ
language English
format Article
sources DOAJ
author Pawel Rotter
Wojciech Chmiel
spellingShingle Pawel Rotter
Wojciech Chmiel
A framework for a hierarchical model of cooperation between unmanned airplanes
European Journal of Remote Sensing
Unmanned aerial vehicles
autonomous robot cooperation
aerial surveillance systems
author_facet Pawel Rotter
Wojciech Chmiel
author_sort Pawel Rotter
title A framework for a hierarchical model of cooperation between unmanned airplanes
title_short A framework for a hierarchical model of cooperation between unmanned airplanes
title_full A framework for a hierarchical model of cooperation between unmanned airplanes
title_fullStr A framework for a hierarchical model of cooperation between unmanned airplanes
title_full_unstemmed A framework for a hierarchical model of cooperation between unmanned airplanes
title_sort framework for a hierarchical model of cooperation between unmanned airplanes
publisher Taylor & Francis Group
series European Journal of Remote Sensing
issn 2279-7254
publishDate 2018-01-01
description In this article we propose a framework for a hierarchical model for cooperation between unmanned airplanes in large groups. We argue that the swarm approach to cooperation between a large number of mobile robots is ineffective when robots can be equipped with efficient communication, precise location hardware and with complex control algorithms. The proposed model, analogous to the organisation of a team of people, is an intermediate solution, between the swarm approach and central control. The bottom layer of the model includes unmanned airplanes that perform tasks related to the mission goals, such as capturing images, looking for objects through image analysis, etc. These airplanes are organised in teams, and each team is controlled by the superior airplane. Two top layers are ground-based: the central computer and the human operator, and their functions are mostly defining the goals, planning and optimisation of the mission. We present two examples of response to events, related to failure or loss of an airplane. We discuss how the proposed model can manage possible interruptions of communication and security issues, and how collision avoidance can be implemented. Finally, we point out that, although the control structure is different than in the swarm approach, swarm intelligence can still be used to optimise missions.
topic Unmanned aerial vehicles
autonomous robot cooperation
aerial surveillance systems
url http://dx.doi.org/10.1080/22797254.2018.1425600
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