• DocumentCode
    3621868
  • Title

    Survey of Connectionist Control Algorithms for Humanoid Robots

  • Author

    D.M. Katic;M.K. Vukobratovic

  • Author_Institution
    Senior Member, IEEE., Robotics Laboratorv, Mihailo Pupin Institute, Volgina 15, 11060 Belgrade, Serbia &
  • Volume
    1
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    310
  • Lastpage
    313
  • Abstract
    This paper focuses on the application of connectionist (neural networks) control techniques and their hybrid forms (neuro-fuzzy networks and neuro-genetic algorithms) in the area of humanoid robotic systems. It represents an attempt to cover the basic principles and concepts of connectionist learning control in humanoid robotics, with an outline of a number of algorithms used in advanced control of humanoid robots
  • Keywords
    "Humanoid robots","Legged locomotion","Control systems","Intelligent robots","Neural networks","Robot sensing systems","Robot control","Intelligent control","Humans","Medical robotics"
  • Publisher
    ieee
  • Conference_Titel
    Computer as a Tool, 2005. EUROCON 2005.The International Conference on
  • Print_ISBN
    1-4244-0049-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2005.1629923
  • Filename
    1629923
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3621868