• DocumentCode
    617953
  • Title

    On the effects of the robot configuration on evolving coordinated motion behaviors

  • Author

    Fehervari, Istvan ; Trianni, Vito ; Elmenreich, Wilfried

  • Author_Institution
    Networked & Embedded Syst./Lakeside Labs., Alpen-Adria Univ. Klagenfurt, Klagenfurt, Austria
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    1209
  • Lastpage
    1216
  • Abstract
    The design of robotic controllers through evolutionary methods requires making a large number of choices about the experimental setup, which are often left to the expertise or naivete of the experimenter. Although much attention is normally given to the fitness function or the genotype-to-phenotype mapping determining the robot controller, the robot configuration is often selected with little care. Yet, an ill-defined configuration-in terms of the selected subset of the sensory-motor system, or in the pre-processing of the raw sensor data-may be decisive in determining the outcome of the evolutionary process. In this paper, we study the effect of different robot configurations on the ability to evolve efficient behaviors for a swarm robotics system. In this domain, the choice of a good configuration is fundamental as even small details can lead to large differences in the group behavior. To demonstrate the importance of the robot configuration, we test different alternatives and measure the group performance on a bi-objective scale. We find that different configurations not only have a strong effect on performance, but they also correspond to behaviors with radically different features concerning the organization of the group.
  • Keywords
    control system synthesis; evolutionary computation; mobile robots; multi-robot systems; performance evaluation; sensors; bi-objective scale; coordinated motion behaviors; evolutionary methods; group performance measurement; raw sensor data pre-processing; robot configurations; robot controller; sensory-motor system; swarm robotic system; Erbium; Light emitting diodes; Neurons; Robot kinematics; Robot sensing systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2013 IEEE Congress on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4799-0453-2
  • Electronic_ISBN
    978-1-4799-0452-5
  • Type

    conf

  • DOI
    10.1109/CEC.2013.6557703
  • Filename
    6557703