• DocumentCode
    117499
  • Title

    Dynamic parameters identification of a humanoid robot using joint torque sensors and/or contact forces

  • Author

    Ogawa, Yusuke ; Venture, Gentiane ; Ott, Christian

  • Author_Institution
    Dept. of Mech. Syst. Eng., Tokyo Univ. of Agric. & Technol., Koganei, Japan
  • fYear
    2014
  • fDate
    18-20 Nov. 2014
  • Firstpage
    457
  • Lastpage
    462
  • Abstract
    This paper describes the identification of the humanoid robot TORO using two methods: the classical joint torque based identification, and the more recent base-link approach. In our past research we have developed an identification method for dynamics identification of humanoids using only the external forces because most humanoid robots are not equipped with torque sensors, and using the motor current requires a precise model of the transmission. With TORO it is now possible to measure the pure joint torque and thus to compare the efficiency of both methods for humanoid robots. This paper compares the joint torque measured by the torque sensor and the joints torque predicted by the inverse dynamics, using the identified dynamic parameters as well as the contact forces measured with the ankle force torque sensors and the predicted one using the dynamics model and the identified parameters. We discuss how the identified parameters differs using each method both with direct validation and cross validation.
  • Keywords
    force sensors; humanoid robots; parameter estimation; robot kinematics; torque control; TORO; base-link approach; classical joint torque based identification; contact forces; dynamic parameters identification; dynamics identification; humanoid robot; joint torque sensors; motor current; precise transmission model; Aerodynamics; Humanoid robots; Joints; Mathematical model; Torque; Dynamics identification; joint torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots (Humanoids), 2014 14th IEEE-RAS International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/HUMANOIDS.2014.7041401
  • Filename
    7041401