• DocumentCode
    3573073
  • Title

    Adaptive object impedance control of dual-arm cooperative humanoid manipulators

  • Author

    Yi Ren ; Yang Zhou ; Yechao Liu ; Minghe Jin ; Hong Liu

  • Author_Institution
    State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • Firstpage
    3333
  • Lastpage
    3339
  • Abstract
    A novel adaptive object impedance control strategy is presented for dual-arm cooperative humanoid manipulators. A general impedance scheme comprising internal impedance control and object impedance control is adopted, which aims at conferring a compliant behavior both in end-effector level and object lever. The adaptation law for the stiffness and damping of object impedance is derived from Lyapunov stability theory. In contrast with general object impedance, the proposed controller can exhibit different impedance characteristics according to the force exerted by environment on the object and can achieve minimizing the metabolic cost of the adaptation process. Simulation results show the object impedance controller exhibits explicit compliance behavior when the interaction with environment is weak and presents accumulation property of the stiffness and damping when the interaction is strong.
  • Keywords
    Lyapunov methods; adaptive control; compliance control; cooperative systems; damping; end effectors; humanoid robots; multi-robot systems; stability; Lyapunov stability theory; adaptive object impedance control; dual-arm cooperative humanoid manipulators; end-effector; explicit compliance behavior; internal impedance control; object impedance damping; object impedance stiffness; object lever; Equations; Force; Impedance; Joints; Manipulators; Trajectory; Vectors; Robotic control; adaptive object impedance; cooperative humanoid manipulators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053267
  • Filename
    7053267