• DocumentCode
    1644026
  • Title

    SymbricatorRTOS: A flexible and Dynamic framework for bio-inspired robot control systems and evolution

  • Author

    Szymanski, M. ; Winkler, L. ; Laneri, D. ; Schlachter, F. ; van Rossum, A.C. ; Schmickl, T. ; Thenius, R.

  • Author_Institution
    Inst. for Process Control & Robot. (IPR), Univ. Karlsruhe, Karlsruhe
  • fYear
    2009
  • Firstpage
    3314
  • Lastpage
    3321
  • Abstract
    One of the main aspects of the dasiaSYMBRIONpsila and dasiaREPLICATORpsila projects is that the robots can aggregate to form a multi-robot organism. For this reason the control mechanisms have to be able to control a single robot, a swarm of robots or an aggregated collective organism. To break down the complexity of development and to take the interaction with the environment and other robots into account, bio-inspired and evolutionary concepts are applied. In this paper we describe the underlying software architecture for the projects to enable different controller types, evolution and learning.
  • Keywords
    control engineering computing; evolutionary computation; multi-robot systems; software architecture; bioinspired robot control systems; evolutionary concepts; multirobot organism; software architecture; Aggregates; Hardware; Humans; Operating systems; Organisms; Parallel robots; Robot control; Robot sensing systems; Service robots; Software architecture;
  • 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.2009.4983365
  • Filename
    4983365