• DocumentCode
    3306351
  • Title

    Mechanical and walking optimization of a hexapod robot using PSO

  • Author

    Burkus, Ervin ; Odry, Peter

  • Author_Institution
    Obuda Univ., Budapest, Hungary
  • fYear
    2013
  • fDate
    8-10 July 2013
  • Firstpage
    177
  • Lastpage
    180
  • Abstract
    In this paper a novel solution is introduced for determining the dimensions and construction of a walking robot using an optimization method. During our previous research and development several hexapod walking robots have been built. The latest model called Szabad(ka) II is a complex, servo motor driven, multiprocessor device made of aluminum and steel. Prior to its construction sophisticated modeling was carried out, with special attention to the smallest physical, mechanical and electrical parts. With this model the functionality of the robot could be checked before the manufacturing process. For the time being, modeling was used only for verifying the construction, but as the next step it will be used for defining the construction and dimensions. Manually this is practically impossible, therefore the process requires automatization. The definition of the optimal parameters can be solved with optimization methods. For the task the Particle Swarm Optimization (PSO) was chosen.
  • Keywords
    aluminium; legged locomotion; microprocessor chips; particle swarm optimisation; servomotors; steel; PSO; Szabad(ka) II robot; aluminum; hexapod walking robots; mechanical optimization; multiprocessor device; optimal parameters; optimization method; particle swarm optimization; servomotor; steel; walking optimization; Joints; Legged locomotion; MATLAB; Mathematical model; Optimization; Particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on
  • Conference_Location
    Tihany
  • Print_ISBN
    978-1-4799-0060-2
  • Type

    conf

  • DOI
    10.1109/ICCCyb.2013.6617583
  • Filename
    6617583