• DocumentCode
    1874377
  • Title

    How morphology affects self-assembly in a stochastic modular robot

  • Author

    Miyashita, Shuhei ; Kessler, Marco ; Lungarella, Max

  • Author_Institution
    Dept. of Inf., Univ. of Zurich, Zurich
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    3533
  • Lastpage
    3538
  • Abstract
    Self-assembly is a process through which an organized structure can spontaneously form from simple parts. Taking inspiration from biological examples of self-assembly, we designed and built a water-based modular robotic system consisting of autonomous plastic tiles capable of aggregation on the surface of water. In this paper, we investigate the effect of the morphology (here: shape) of the tiles on the yield of the self-assembly process, that is, on the final amount of the desired aggregate. We describe experiments done with the real system as well as with a computer simulation thereof. We also present results of a mathematical analysis of the modular system based on chemical rate equations which point to a power-law relationship between yield rate and shape. Using the real system, we further demonstrate how through a single parameter (here: the externally applied electric potential) it is possible to control the self-assembly of propeller-like aggregates. Our results seem to provide a starting point (a) for quantifying the effect of morphology on the yield rates of self- assembly processes and (b) for assessing the level of modular autonomy and computational resources required for emergent functionality to arise.
  • Keywords
    assembling; industrial robots; aggregate; autonomous plastic tiles; morphology; power-law relationship; self-assembly; stochastic modular robot; Aggregates; Computer simulation; Mathematical analysis; Plastics; Robots; Self-assembly; Shape; Stochastic processes; Surface morphology; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543751
  • Filename
    4543751