• DocumentCode
    2021391
  • Title

    Operational space dynamics: efficient algorithms for modeling and control of branching mechanisms

  • Author

    Chang, Kyong-Sok ; Khatib, Oussama

  • Author_Institution
    Robotics Lab., Stanford Univ., CA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    850
  • Abstract
    This paper discusses intuitive and efficient ways to model and control the dynamics of highly redundant branching mechanisms using the operational space formulation. As the complexity of mechanisms increases, their modeling and control become increasingly difficult. The operational space formulation provides a natural framework for these problems since its basic structure provides dynamic decoupling among multiple tasks and posture behaviors. Efficient recursive algorithms are presented for the computation of the operational space dynamics of branching mechanisms with multiple operational points. The application of these algorithms results in a significant increase in the interactivity and usability of dynamic control of complex branching mechanisms. The experimental results are presented using real-time dynamic simulation
  • Keywords
    Jacobian matrices; computational complexity; optimal control; robot dynamics; robot kinematics; Jacobian matrix; branching robots; computational complexity; inertia matrix; kinematics; operational space dynamics; optimal control; recursive algorithms; Biological system modeling; Equations; Force control; Heuristic algorithms; Humanoid robots; Null space; Orbital robotics; Real time systems; Torque control; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.844156
  • Filename
    844156