• DocumentCode
    3587133
  • Title

    An online calibration method for six-dimensional force/torque sensor based on shape from motion combined with complex algorithm

  • Author

    Yongjun Sun ; Yajuan Li ; Yiwei Liu ; Hong Liu

  • Author_Institution
    Sch. of Mech., Harbin Inst. of Technol. (HIT), Harbin, China
  • fYear
    2014
  • Firstpage
    2631
  • Lastpage
    2636
  • Abstract
    The traditional six-dimensional force/torque sensor calibration method requires a lot of precision loading force and can only be off-line calibration. In this paper, to solve the problem, an online calibration and decoupling method based on the shape from motion combined with complex algorithm is proposed. It does not require accurate and redundant loading force information, and have better noise suppression characteristics just as the LSM in high-precision load, high redundant data acquisition correction. Compared to LSM, SFM method is a more efficient, high-precision calibration method. In the calibration process of SFM, a known force is applied in any direction within the space of the sensor, while the original output data is recorded in each direction. Finally, the algorithm is validated by carrying out experiment on one kinds of JR3 six-dimensional force/torque sensor.
  • Keywords
    calibration; data acquisition; force sensors; optimisation; robots; torque measurement; JR3 six-dimensional force sensor; JR3 six-dimensional torque sensor; SFM method; complex algorithm; decoupling method; noise suppression characteristics; offline calibration; online calibration method; precision loading force; redundant data acquisition correction; robot; six-dimensional force sensor calibration method; six-dimensional torque sensor calibration method; Calibration; Force; Loading; Matrix decomposition; Robot sensing systems; Shape; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090739
  • Filename
    7090739