• DocumentCode
    2600434
  • Title

    Proportion regulation for division of labor in multi-robot system

  • Author

    Suseki, Kohei ; Mizuguchi, Tsuyoshi ; Sugawara, Ken ; Kosuge, Kazuhiro

  • Author_Institution
    Dept. of Bioeng. & Robotics, Tohoku Univ., Sendai, Japan
  • fYear
    2005
  • fDate
    2-6 Aug. 2005
  • Firstpage
    2339
  • Lastpage
    2344
  • Abstract
    Division of labor performed by social insects, such as ants and bees, is one of the most advanced functions that they have evolved. Although individual insects have the same inheritance, they are divided into certain groups in which they play specialized roles. For effective performance, the groups exhibit proportional regulation of population, which implies regulating their population to maintain their proportion; further the proportion of each group is regulated against external disturbances without aid from a special individual. In a multi-robot system, the division of labor is one of the most attractive and useful propositions. This paper addresses the proportion regulation of population in a homogenous multi-robot system, which is inspired by the task allocation practiced by social insects. We propose an extended probability model for proportion regulation, and confirm its performance by numerical simulation. We also experimentally validate its performance using a simple multi-robot system.
  • Keywords
    multi-robot systems; probability; task analysis; division of labor; extended probability model; homogenous multirobot system; proportion regulation; stock materials; task allocation; Biological materials; Biological system modeling; Biological systems; Biomedical engineering; Information science; Insects; Multirobot systems; Numerical simulation; Robots; Robust control; Multi-robot System; Proportion regulation; Stock materials; Task allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8912-3
  • Type

    conf

  • DOI
    10.1109/IROS.2005.1545400
  • Filename
    1545400