Human Management of a Robotic Swarm

  • Nicole Salomons
  • Gabriel Kapellmann-Zafra
  • Roderich Groß
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9716)


This paper proposes a management algorithm that allows a human operator to organize a robotic swarm via a robot leader. When the operator requests a robot to become a leader, nearby robots suspend their activities. The operator can then request a count of the robots, and assign them into subgroups, one for each task. Once the operator releases the leader, the robots perform the tasks they were assigned to. We report a series of experiments conducted with up to 30 e-puck mobile robots. On average, the counting and allocation algorithm correctly assigns 95 % of the robots in the swarm. The time to count the number of robots increases, on average, linearly with the number of robots, provided they are arranged in random formation.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Nicole Salomons
    • 1
  • Gabriel Kapellmann-Zafra
    • 1
  • Roderich Groß
    • 1
  1. 1.Sheffield Robotics and Department of Automatic Control and Systems EngineeringThe University of SheffieldSheffieldUK

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