• DocumentCode
    3144978
  • Title

    Humanoid push recovery

  • Author

    Stephens, Benjamin

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ. Pittsburgh, Pittsburgh, PA
  • fYear
    2007
  • fDate
    Nov. 29 2007-Dec. 1 2007
  • Firstpage
    589
  • Lastpage
    595
  • Abstract
    We extend simple models previously developed for humanoids to large push recovery. Using these simple models, we develop analytic decision surfaces that are functions of reference points, such as the center of mass and center of pressure, that predict whether or not a fall is inevitable. We explore three strategies for recovery: 1) using ankle torques, 2) moving internal joints, and 3) taking a step. These models can be used in robot controllers or in analysis of human balance and locomotion.
  • Keywords
    humanoid robots; legged locomotion; robot dynamics; torque control; analytic decision surface; ankle torque; center of mass; center of pressure; human balance; human locomotion; humanoid push recovery; moving internal joints; robot controller; robot dynamics; Arm; Biological system modeling; Hip; Humanoid robots; Humans; Predictive models; Robot control; Senior citizens; Stability; Torque; Dynamics; Robot dynamics; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots, 2007 7th IEEE-RAS International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-4244-1861-9
  • Electronic_ISBN
    978-1-4244-1862-6
  • Type

    conf

  • DOI
    10.1109/ICHR.2007.4813931
  • Filename
    4813931