Autonomous coordinated flying for groups of communications UAVs

Alexandros Giagkos, Elio Tuci, Myra Wilson, Philip B. Charlesworth

Research output: Contribution to conferenceAbstractpeer-review


We describe a study that compares two methods to generate coordinated flying trajectories for a group of unmanned aerial vehicles. The vehicles are required to form and maintain an adaptive aerial network backbone over multiple independent mobile ground-based units. The first method is based on the use of evolutionary algorithms. The second methods looks at this coordination problem as a non-cooperative game and finds solution using Game Theory approach. The main objective of both methods is to maximise the network coverage, i.e., the number of mobile ground-based units that have access to the network backbone, by utilising the available power for communication efficiently.
Original languageEnglish
Number of pages2
Publication statusPublished - 07 May 2015
EventAustrian Robotics Workshop 2015 - Austria, Klagenfurt, Austria
Duration: 07 May 201508 May 2015


WorkshopAustrian Robotics Workshop 2015
Period07 May 201508 May 2015


  • Kinematics, dynamics and control, autonomous systems, UAV, multi-robot systems


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