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Modeling the Behavior of Unskilled Users in a Multi-UAV Simulation Environment

  • Víctor Rodríguez-FernándezEmail author
  • Antonio Gonzalez-Pardo
  • David Camacho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9375)

Abstract

The use of Unmanned Aerial Vehicles (UAVs) has been growing over the last few years. The accelerated evolution of these systems is generating a high demand of qualified operators, which requires to redesign the training process and focus on a wider range of candidates, including inexperienced users in the field, in order to detect skilled-potential operators. This paper uses data from the interactions of multiple unskilled users in a simple multi-UAV simulator to create a behavioral model through the use of Hidden Markov Models (HMMs). An optimal HMM is validated and analyzed to extract common behavioral patterns among these users, so that it is proven that the model represents correctly the novelty of the users and may be used to detect and predict behaviors in multi-UAV systems.

Keywords

Unmanned Aerial Vehicles (UAVs) Human-Robot Interaction (HRI) Hidden Markov Model (HMM) Behavioral model 

Notes

Acknowledgments

This work is supported by the Spanish Ministry of Science and Education under Project Code TIN2014-56494-C4-4-P, Comunidad Autonoma de Madrid under project CIBERDINE S2013/ICE-3095, and Savier an Airbus Defense & Space project (FUAM-076914 and FUAM-076915). The authors would like to acknowledge the support obtained from Airbus Defence & Space, specially from Savier Open Innovation project members: José Insenser, Gemma Blasco and Juan Antonio Henríquez.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Víctor Rodríguez-Fernández
    • 1
    Email author
  • Antonio Gonzalez-Pardo
    • 2
    • 3
  • David Camacho
    • 1
  1. 1.Universidad Autónoma de Madrid (UAM)MadridSpain
  2. 2.Basque Center for Applied Mathematics (BCAM)BilbaoSpain
  3. 3.TECNALIA, OPTIMA UnitDerioSpain

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