• DocumentCode
    695121
  • Title

    A dual-stage complementary filter for dead reckoning of a biped robot via estimated contact point

  • Author

    Masuya, Ken ; Sugihara, Tomomichi

  • Author_Institution
    Dept. of Adaptive Machine Syst., Osaka Univ., Suita, Japan
  • fYear
    2013
  • fDate
    15-17 Oct. 2013
  • Firstpage
    112
  • Lastpage
    117
  • Abstract
    This paper proposes a novel technique of dead reckoning for biped robots. The trunk position of a robot with respect to the inertial frame is estimated only using internal sensors in a short interval, so that it is available for high-rate feedback control. It is a complementary filter in which (1) the low-frequency component of the motion of the trunk is inversely computed from the relative motion of the contact point with respect to the trunk, where the rotation and rolling of the support foot about the contact point are taken into account, (2) the high-frequency component of that is estimated by double-integral of acceleration, and (3) the crossover frequency to combine those estimations is automatically adjusted based on the ground reaction force. The efficacy of the proposed method was verified through some simulations.
  • Keywords
    acceleration control; feedback; legged locomotion; motion control; sensors; acceleration; biped robot; contact point estimation; crossover frequency; dead reckoning; double-integral; dual-stage complementary filter; ground reaction force; high-rate feedback control; inertial frame; internal sensors; low-frequency component; relative motion; robot trunk position; support foot rolling; support foot rotation; trunk motion; Acceleration; Dead reckoning; Estimation; Foot; Force; Reliability; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots (Humanoids), 2013 13th IEEE-RAS International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    2164-0572
  • Print_ISBN
    978-1-4799-2617-6
  • Type

    conf

  • DOI
    10.1109/HUMANOIDS.2013.7029964
  • Filename
    7029964