• DocumentCode
    1687078
  • Title

    Energy-efficient reference gait generation utilizing variable ZMP and vertical hip motion based on inverted pendulum model for biped robots

  • Author

    Shin, Hyeok Ki ; Kim, Byung Kook

  • Author_Institution
    Dept. of Electr. Eng., KAIST, Daejeon, South Korea
  • fYear
    2010
  • Firstpage
    1408
  • Lastpage
    1413
  • Abstract
    Energy-efficient reference gait generation algorithm is suggested utilizing variable ZMP (Zero Moment Point) and vertical hip motion, which maxmizes the energy efficiency for cyclic gaits, based on inverted pendulum model (IPM) for biped robots. As observed in natural human walking, the robot´s vertical hip motion (with average height and amplitude of hip ripple) as well as allowing variable ZMP pattern, which reduces the joint stress (i.e., rapid acceleration and deceleration of body) to minimize a suitable energy performance - amount of energy required to carry a unit weight a unit distance. In order to ensure physically realizable walking trajectory, we also consider joint velocity limits, kinematic constraints, friction constraint, and yawing moment constraint. Simulations are performed with a 12-DOF 3D biped robot model to verify the effectiveness of the proposed method.
  • Keywords
    legged locomotion; motion control; nonlinear control systems; pendulums; position control; biped robots; energy-efficient reference gait generation; friction constraint; inverted pendulum model; joint stress; joint velocity limits; kinematic constraints; vertical hip motion; yawing moment constraint; zero moment point; Foot; Hip; Joints; Leg; Legged locomotion; Trajectory; Bipedal walking; reference gait generation; variable ZMP; vertical hip motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation and Systems (ICCAS), 2010 International Conference on
  • Conference_Location
    Gyeonggi-do
  • Print_ISBN
    978-1-4244-7453-0
  • Electronic_ISBN
    978-89-93215-02-1
  • Type

    conf

  • Filename
    5670324