• DocumentCode
    3022156
  • Title

    From compliant balancing to dynamic walking on humanoid robot: Integration of CNS and CPG

  • Author

    Hyon, Sang-Ho ; Morimoto, Jun ; Kawato, Mitsuo

  • Author_Institution
    ATR Comput. Neurosci. Labs., Kyoto, Japan
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    1084
  • Lastpage
    1085
  • Abstract
    We present our ongoing effort to achieve compliant balancing to dynamic walking on our torque-controlled, human-sized, biped humanoid robot. Inspired by human musculoskeletal systems, our approach integrates full-body task-space force controllers with joint-space pattern generators on the commanded joint torque output to facilitate robust control performance, as well as the efficient online learning. With this approach various compliant and stable motions have been created in a constructive manner. We demonstrate the effectiveness of our approach by two folds of experiments: 1) Compliant double / single-support balancing and quasi-static walking on uneven terrain, which do not require any joint patters, 2) Fast and stable squat and dynamic walking by introducing joint-space pattern generators.
  • Keywords
    force control; humanoid robots; learning (artificial intelligence); legged locomotion; torque control; CNS; CPG; artificial central nervous system; biped humanoid robot; central pattern generation; compliant balancing; compliant double/single-support balancing; dynamic walking; full-body task-space force controllers; human musculoskeletal systems; human-sized humanoid robot; joint-space pattern generators; online learning; quasi-static walking; torque-controlled humanoid robot; Force control; Humanoid robots; Humans; Legged locomotion; Motion control; Musculoskeletal system; Neuroscience; Robust control; Supervised learning; Trajectory;
  • 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.2010.5509654
  • Filename
    5509654