• DocumentCode
    2689112
  • Title

    The instantaneous leg extension model of Virtual Slope Walking

  • Author

    Zhao, Mingguo ; Dong, Hao ; Zhang, Naiyao

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    3220
  • Lastpage
    3225
  • Abstract
    In our previous work, we have realized virtual slope walking that a robot can walk on level ground as it walks down a virtual slope by leg length modulation. In this paper, we present the instantaneous leg extension model of virtual slope walking to analyze the essentials of virtual slope walking. It has two straight massless legs and a point mass body at the hip. The stance leg is extended instantaneously while the swing leg is swung and shortened actively. We demonstrate that this model can exhibit stable walking cycles on level ground. We obtain the sufficient conditions for the existence of the fixed point. We then illustrate the effect of the model parameters on the fixed point to show how the fixed point can be determined by adjusting the parameters. Further, we theoretically proved that the fixed point is asymptotically stable, meaning that it is independent on the initial conditions. The validity of the proposed model has been examined by numerical simulations.
  • Keywords
    asymptotic stability; legged locomotion; asymptotically stable; instantaneous leg extension model; leg length modulation; massless legs; point mass body; stable walking cycles; stance leg; sufficient conditions; swing leg; virtual slope walking; Algorithm design and analysis; Intelligent robots; Leg; Legged locomotion; Mechanical energy; Potential energy; Power system modeling; Power system restoration; Stability analysis; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354664
  • Filename
    5354664