• DocumentCode
    3078161
  • Title

    Genetic algorithm for control design of biped locomotion

  • Author

    Cheng, M.-Y. ; Lin, C.-S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    1315
  • Abstract
    Dynamic biped walking is a difficult control problem. The problem involves the design of the controller as well as the gait. In this paper, the design of the controller and the gait is formulated as a parameter search problem and a genetic algorithm is applied to help the design. Designs to achieve different goals, such as being able to walk on an inclined surface, walk at a high speed or with a specified step size have been evolved with the use of the genetic algorithm. Simulation results show that the genetic algorithm is capable of finding good solutions
  • Keywords
    control system synthesis; genetic algorithms; legged locomotion; search problems; biped locomotion; biped walking robot; control design; gait control; genetic algorithm; parameter search problem; Algorithm design and analysis; Control design; Equations; Foot; Genetic algorithms; Legged locomotion; Linear feedback control systems; Optimal control; Robots; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.537954
  • Filename
    537954