• DocumentCode
    133633
  • Title

    A bio-inspired mobile agent-based coalition formation system for multiple modular-robot systems

  • Author

    Binsen Qian ; Cheng, H.H.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Univ. of California, Davis, Davis, CA, USA
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents bio-inspired algorithms for coalition formation of a mobile agent-based modular robot system. A mathematical model for coalition formation is described. Two bio-inspired algorithms, ant-colony algorithm and genetic algorithm, are introduced for solving the mathematical model. Multiple experiments were run and the final results are shown in both mathematically and graphically. The graphical simulation is implemented by RoboSim which is built atop Ch, a C/C++ interpreter providing powerful features for solving engineering problems. The performance of both algorithms is shown by comparing different scenarios.
  • Keywords
    C++ language; ant colony optimisation; control system analysis computing; genetic algorithms; mobile robots; position control; program interpreters; C/C++ interpreter; Ch; RoboSim; ant-colony algorithm; bioinspired mobile agent; coalition formation system; engineering problems; genetic algorithm; graphical simulation; mathematical model; modular-robot systems; Algorithm design and analysis; Genetic algorithms; Layout; Mathematical model; Mobile robots; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
  • Conference_Location
    Senigallia
  • Print_ISBN
    978-1-4799-2772-2
  • Type

    conf

  • DOI
    10.1109/MESA.2014.6935602
  • Filename
    6935602