• DocumentCode
    2942740
  • Title

    Humanoid Vertical Jumping based on Force Feedback and Inertial Forces Optimization

  • Author

    Sakka, Sophie ; YOKOI, Kazuhito

  • Author_Institution
    AIST/CNRS Joint Japanese-French Robotics Research Laboratory (JRL) Intelligent Systems Research Institute (ISRI), AIST Central 2, 1-1-1 Umezono, Tsukuba 305-8568, Japan; sophie.sakka@aist.go.jp
  • fYear
    2005
  • fDate
    18-22 April 2005
  • Firstpage
    3752
  • Lastpage
    3757
  • Abstract
    This paper proposes adapting human jumping dynamics to humanoid robotic structures. Data obtained from human jumping phases and decomposition together with ground reaction forces (GRF) are used as model references. Moreover, bodies inertial forces are used as task constraints while optimizing energy to determine the humanoid robot posture and improve its jumping performances.
  • Keywords
    Humanoid robotics; inertia optimization; jumping pattern generation; Actuators; Biological system modeling; Force feedback; Humanoid robots; Humans; Intelligent robots; Intelligent systems; Kinematics; Legged locomotion; Stability; Humanoid robotics; inertia optimization; jumping pattern generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8914-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.2005.1570692
  • Filename
    1570692