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Volumn 45, Issue 16 PART 1, 2012, Pages 1659-1664

Identification of 6 DOF rigid industrial robots with the instrumental variable method

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); DYNAMIC MODELS; ITERATIVE METHODS;

EID: 84867095471     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20120711-3-BE-2027.00058     Document Type: Conference Paper
Times cited : (4)

References (16)
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  • 3
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    • Gautier, M. and Khalil, W. (1992). Exciting trajectories for the identification of the inertial parameters of robots. International Journal of Robotics Research, vol. 11, Aug. 1992, pp. 362-375.
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  • 4
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    • 2001
    • Gautier, M. and Poignet, P.H. (2001). Extended Kalman filtering and weighted least squares dynamic identification of robot. Control Engineering Practice, vol. 9, (2001) pp. 1361-1372.
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    • Gautier, M.1    Poignet, P.H.2
  • 5
    • 0026206721 scopus 로고
    • Numerical calculation of the base inertial parameters
    • 1991
    • Gautier, M. (1991). Numerical calculation of the base inertial parameters. Journal of Robotics Systems, vol. 8, 1991, pp. 485-506.
    • (1991) Journal of Robotics Systems , vol.8 , pp. 485-506
    • Gautier, M.1
  • 6
    • 84874645720 scopus 로고    scopus 로고
    • A new closed-loop output error method for parameter identification of robot dynamics
    • accepted for publication, doi: 10.1109/TCST.2012.2185697
    • Gautier, M., Janot, A. & Vandanjon, P.O. (2012) A New Closed-Loop Output Error Method for Parameter Identification of Robot Dynamics, IEEE Transactions on Control System Technology, accepted for publication, doi: 10.1109/TCST.2012.2185697.
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    • Gautier, M.1    Janot, A.2    Vandanjon, P.O.3
  • 8
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    • Hausman, J.A.1
  • 9
    • 76349101878 scopus 로고    scopus 로고
    • Using robust regressions and residual analysis to verify the reliability of LS estimation: Application in robotics
    • Saint Louis, USA, October 2009
    • Janot, A., Vandanjon, P.O. and Gautier, M. (2009a). Using Robust Regressions and Residual Analysis to Verify the Reliability of LS Estimation: Application in Robotics. In: Proc. of IEEE International Conference on Intelligent Robots and Systems, 2009, Saint Louis, USA, October 2009, pp. 1962-1967.
    • (2009) Proc. of IEEE International Conference on Intelligent Robots and Systems , vol.2009 , pp. 1962-1967
    • Janot, A.1    Vandanjon, P.O.2    Gautier, M.3
  • 12
    • 0036487807 scopus 로고    scopus 로고
    • Maximum likelihood identification of a dynamic robot model: Implementation issues
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    • Olsen, M. M., Swevers, J. and Verdonck, W. (2002). Maximum Likelihood Identification of a Dynamic Robot Model: Implementation Issues. International Journal of Robotics Research, vol. 21(2), Feb. 2002, pp. 89-96.
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  • 13
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    • Robust dynamic experimental identification of robots with set membership uncertainty
    • april 2005
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  • 16
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