Abstract

A dancing UAVshow is a performance where a number of UAVs fly and form certain patterns. The dancing UAV performance is very limited by the show time and also the flying time of each UAV. Beside the time problem, determining the trajectory of each UAV to form certain patterns in a three-dimensional area is a problem. To overcome the time problem and determine the trajectory, it is necessary to determine the best waypoint and trajectory. In this paper, we use Ant Colony Optimization (ACO) as a method to figure out the best waypoint and trajectory. Experiments using simulations were carried out to see the magnitude of the effect of selecting the best waypoint and trajectory using the ACO. The results of the experiment show that method can shorten the distance, especially for the pattern that formed with the large number of UAVs.

Original languageEnglish
Title of host publicationProceedings - 2020 International Seminar on Intelligent Technology and Its Application
Subtitle of host publicationHumanification of Reliable Intelligent Systems, ISITIA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages279-284
Number of pages6
ISBN (Electronic)9781728174136
DOIs
Publication statusPublished - Jul 2020
Event2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 - Virtual, Online, Indonesia
Duration: 22 Jul 202023 Jul 2020

Publication series

NameProceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020

Conference

Conference2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
Country/TerritoryIndonesia
CityVirtual, Online
Period22/07/2023/07/20

Keywords

  • ACO
  • UAV
  • optimization
  • pattern forming

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