• DocumentCode
    1637331
  • Title

    Evolutionary robotics: The next-generation-platform for on-line and on-board artificial evolution

  • Author

    Kernbach, S. ; Meister, E. ; Scholz, O. ; Humza, R. ; Liedke, J. ; Ricotti, L. ; Jemai, J. ; Havlik, J. ; Liu, W.

  • Author_Institution
    Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart, Stuttgart
  • fYear
    2009
  • Firstpage
    1079
  • Lastpage
    1086
  • Abstract
    In this paper we present the development of a new self-reconfigurable robotic platform for performing on-line and on-board evolutionary experiments. The designed platform can work as an autonomous swarm robot and can undergo collective morphogenesis to actuate in different morphogenetic structures. The platform includes a dedicated power management, rich sensor mechanisms for on-board fitness measurement as well as very powerful distributed computational system to run learning and evolutionary algorithms. The whole development is performed within several large European projects and is open-hardware and open-software.
  • Keywords
    control system synthesis; evolutionary computation; learning (artificial intelligence); multi-robot systems; autonomous swarm robot; dedicated power management; evolutionary algorithms; morphogenetic structures; on-board fitness measurement; powerful distributed computational system; self-reconfigurable robotic platform; sensor mechanisms; Biological system modeling; Computational modeling; Hardware; Humans; Orbital robotics; Organisms; Parallel robots; Robot sensing systems; Sensor phenomena and characterization; Space exploration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4983066
  • Filename
    4983066