• DocumentCode
    3013500
  • Title

    Whole-body humanoid control from upper-body task specifications

  • Author

    Bin Hammam, Ghassan ; Orin, David E. ; Dariush, Behzad

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    3398
  • Lastpage
    3405
  • Abstract
    This paper introduces a very efficient, modified resolved acceleration control algorithm for dynamic filtering and control of whole-body humanoid motion in response to upper-body task specifications. The dynamic filter is applicable for general upper-body motions when standing in place. It is characterized by modification of the commanded torso acceleration based on a geometric solution to produce a ZMP which is inside the support. The resulting feasible modified motion is synchronized to the reference motion when the computed ZMP for the reference motion again falls within the support. Contact forces at each foot are controlled through a dedicated force distribution module which optimizes the ankle roll and pitch torques. The proposed approach uses time-local information and is therefore targeted for online control. The effectiveness of the algorithm is demonstrated by means of simulated experiments on a model of the Honda humanoid robot ASIMO using a highly dynamic upper-body reference motion.
  • Keywords
    acceleration control; humanoid robots; robot dynamics; Honda humanoid robot ASIMO; ZMP; acceleration control algorithm; ankle roll; commanded torso acceleration; dynamic filtering; force distribution module; geometric solution; online control; pitch torques; upper-body task specifications; whole-body humanoid control; Acceleration; Filtering algorithms; Filters; Foot; Force control; Heuristic algorithms; Humanoid robots; Motion control; Torque control; Torso;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509251
  • Filename
    5509251