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Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization (1902.00198v2)

Published 1 Feb 2019 in cs.RO

Abstract: While Product of Exponentials (POE) formula has been gaining increasing popularity in modeling the kinematics of a serial-link robot, the Denavit-Hartenberg (D-H) notation is still the most widely used due to its intuitive and concise geometric interpretation of the robot. This paper has developed an analytical solution to automatically convert a POE model into a D-H model for a robot with revolute, prismatic, and helical joints, which are the complete set of three basic one degree of freedom lower pair joints for constructing a serial-link robot. The conversion algorithm developed can be used in applications such as calibration where it is necessary to convert the D-H model to the POE model for identification and then back to the D-H model for compensation. The equivalence of the two models proved in this paper also benefits the analysis of the identifiability of the kinematic parameters. It is found that the maximum number of identifiable parameters in a general POE model is 5h+4r +2t +n+6 where h, r, t, and n stand for the number of helical, revolute, prismatic, and general joints, respectively. It is also suggested that the identifiability of the base frame and the tool frame in the D-H model is restricted rather than the arbitrary six parameters as assumed previously.

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References (20)
  1. R. W. Brockett, “Robotic manipulators and the product of exponentials formula,” in Mathematical Theory of Networks and Systems, pp. 120–129, Springer, 1984.
  2. CRC press, 1994.
  3. J. Selig, Geometric Fundamentals of Robotics. New York: Springer-Verlag, 2005.
  4. Cambridge University Press, 2017.
  5. K. Okamura and F. C. Park, “Kinematic calibration using the product of exponentials formula,” Robotica, vol. 14, no. 4, pp. 415–421, 1996.
  6. R. He, Y. Zhao, S. Yang, and S. Yang, “Kinematic-parameter identification for serial-robot calibration based on POE formula,” IEEE Transactions on Robotics, vol. 26, no. 3, pp. 411–423, 2010.
  7. X. Yang, L. Wu, J. Li, and K. Chen, “A minimal kinematic model for serial robot calibration using POE formula,” Robotics and Computer-Integrated Manufacturing, vol. 30, no. 3, pp. 326–334, 2014.
  8. L. Wu, X. Yang, K. Chen, and H. Ren, “A minimal POE-based model for robotic kinematic calibration with only position measurements,” IEEE Transactions on Automation Science and Engineering, vol. 12, no. 2, pp. 758–763, 2015.
  9. J. Denavit and R. S. Hartenberg, “A kinematic notation for lower-pair mechanisms based on matrices,” Transactions of ASME Journal of Applied Mechanics, vol. 22, pp. 215–221, 1955.
  10. Pearson Prentice Hall Upper Saddle River, 2005.
  11. B. Siciliano and O. Khatib, Springer Handbook of Robotics. Springer Science & Business Media, 2008.
  12. Springer Science & Business Media, 2010.
  13. Springer, 2011.
  14. L. Wu, R. Crawford, and J. Roberts, “An analytic approach to converting POE parameters into D-H parameters for serial-link robots,” IEEE Robotics and Automation Letters, vol. 2, no. 4, pp. 2174–2179, 2017.
  15. I. A. Smadi, H. Omori, and Y. Fujimoto, “Development, analysis, and experimental realization of a direct-drive helical motor,” IEEE Transactions on Industrial Electronics, vol. 59, no. 5, pp. 2208–2216, 2012.
  16. A. Bertelsen, J. Melo, E. Sánchez, and D. Borro, “A review of surgical robots for spinal interventions,” The International Journal of Medical Robotics and Computer Assisted Surgery, vol. 9, no. 4, pp. 407–422, 2013.
  17. C. Li, Y. Wu, H. Löwe, and Z. Li, “POE-based robot kinematic calibration using axis configuration space and the adjoint error model,” IEEE Transactions on Robotics, vol. 32, no. 5, pp. 1264–1279, 2016.
  18. G. Chen, H. Wang, and Z. Lin, “Determination of the identifiable parameters in robot calibration based on the POE formula,” IEEE Transactions on Robotics, vol. 30, no. 5, pp. 1066–1077, 2014.
  19. Wiley-interscience, 1991.
  20. I.-M. Chen, G. Yang, C. T. Tan, and S. H. Yeo, “Local POE model for robot kinematic calibration,” Mechanism and Machine Theory, vol. 36, no. 11-12, pp. 1215–1239, 2001.
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