• DocumentCode
    2889721
  • Title

    Making feasible walking motion of humanoid robots from human motion capture data

  • Author

    Dasgupta, Anirvan ; Nakamura, Yoshihiko

  • Author_Institution
    Dept. of Mech.-Inf., Tokyo Univ., Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1044
  • Abstract
    This work presents a study of the human/humanoid locomotion system and a method for adaptation of the human motion capture data (HMCD) for driving a humanoid robot. The analysis uses the previously defined concept of the zero moment point (ZMP) which provides a basis for the adaptation of the HMCD. An appropriate model of the robot foot, in agreement with the HMCD, is proposed. This model is used to plan a desired ZMP trajectory. A scheme for approximately matching the actual ZMP trajectory to the desired ZMP trajectory, through periodic joint motion correction at selected joints, is discussed. A method for resolving the ground reaction forces at the foot is also proposed
  • Keywords
    learning systems; legged locomotion; motion control; robot dynamics; human motion capture data; humanoid robots; locomotion; mobile robots; motion control; walking motion; zero moment point; Artificial intelligence; Foot; Humanoid robots; Humans; Legged locomotion; Reduced order systems; Robot kinematics; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.772454
  • Filename
    772454