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Leader-Follower Formation for UAV Robot Swarm Based on Fuzzy Logic Theory

  • Wilson O. Quesada
  • Jonathan I. Rodriguez
  • Juan C. Murillo
  • Gustavo A. Cardona
  • David Yanguas-Rojas
  • Luis G. Jaimes
  • Juan M. CalderónEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10842)

Abstract

This paper proposes an algorithm based on a fuzzy logic approach, capable to guide a robot swarm with the aim to keep a leader-follower formation without colliding with other swarm agents. The fuzzy system is programmed and evaluated originally in Matlab, where several experiments were performed. The results depicted a robot swarm showing some bio-inspired behaviors, such as swarm agents surrounding the leader when it is in a static position or when it is traveling from one place to another place. Finally, the proposed fuzzy system was implemented on a drone swarm using V-Rep. The drones simulation shows the swarm navigating together and keeping the leader in the center of the swarm when it is static and following the leader when it is moving. These results could be evaluated in a future work using drone robot swarm in real environments.

Keywords

Swarm robotics Autonomous mobile robots Fuzzy logic theory Drone swarm 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Wilson O. Quesada
    • 1
  • Jonathan I. Rodriguez
    • 1
  • Juan C. Murillo
    • 1
  • Gustavo A. Cardona
    • 2
  • David Yanguas-Rojas
    • 2
  • Luis G. Jaimes
    • 3
  • Juan M. Calderón
    • 1
    • 4
    Email author
  1. 1.Department of Electronic EngineeringUniversidad Santo TomásBogotaColombia
  2. 2.Department of Electrical and Electronics EngineeringUniversidad Nacional de ColombiaBogotaColombia
  3. 3.Florida Polytechnic UniversityLakelandUSA
  4. 4.Bethun-Cookman UniversityDaytona BeachUSA

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