• DocumentCode
    154456
  • Title

    Controlling Brownian motion applied to macroscopic group robots without mutual communication

  • Author

    Itami, Teturo

  • Author_Institution
    Dept. of Inf. & Commun. Technol., Hiroshima Int. Univ., Hiroshima, Japan
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    903
  • Lastpage
    908
  • Abstract
    We control macroscopic Brownian motion by group robots. To make an object track a required path, feedforward control input is found using our preceding model of continuum mechanical description. We use dynamical balance in continuum mechanics to calculate the feedforward input in each time. We see a phenomenon that the object does not move in a required direction in initial stage of Brownian motion. Due to the phenomenon, large feedback component added to the feedforward input is not avoided to make the object track a required path. We show that feedforward with feedback component works well. But appropriate prediction of a dead time must be incorporated into our continuum model.
  • Keywords
    Brownian motion; feedback; feedforward; mobile robots; motion control; multi-robot systems; path planning; continuum mechanical description; continuum model; dynamical balance; feedback component; macroscopic Brownian motion control; macroscopic group robots; path feedforward control input; Collision avoidance; Distribution functions; Equations; Feedforward neural networks; Force; Mathematical model; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4799-5082-9
  • Type

    conf

  • DOI
    10.1109/MMAR.2014.6957477
  • Filename
    6957477