Swarming algorithm for unmanned aerial vehicle (UAV) quadrotors - Swarm behavior for aggregation, foraging, formation, and tracking

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volume

18

Issue

5

First Page

745

Last Page

751

Publication Date

9-1-2014

Abstract

This paper presents the fusion of swarm behavior in multi robotic system specifically the quadrotors unmanned aerial vehicle (QUAV) operations. This study directed on using robot swarms because of its key feature of decentralized processing amongst its member. This characteristic leads to advantages of robot operations because an individual robot failure will not affect the group performance. The algorithm emulating the animal or insect swarm behaviors is presented in this paper and implemented into an artificial robotic agent (QUAV) in computer simulations. The simulation results concluded that for increasing number of QUAV the aggregation accuracy increases with an accuracy of 90.62%. The experiment for foraging revealed that the number of QUAV does not affect the accuracy of the swarm instead the iterations needed are greatly improved with an average of 160.53 iterations from 50 to 500 QUAV. For swarm tracking, the average accuracy is 89.23%. The accuracy of the swarm formation is 84.65%. These results clearly defined that the swarm system is accurate enough to perform the tasks and robust in any QUAV number. © 2014, Fuji Technology Press. All rights reserved.

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Digitial Object Identifier (DOI)

10.20965/jaciii.2014.p0745

Disciplines

Electrical and Electronics | Robotics

Keywords

Swarm intelligence; Drone aircraft

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