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Geometric Identification of Denavit-Hartenberg Parameters with Optical Measuring System

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Advances in Service and Industrial Robotics (RAAD 2022)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 120))

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Abstract

The absolute accuracy of robots plays an essential role in modern robotics applications that go beyond the typical industrial environment. This paper proposes a method to improve absolute robot accuracy by using an optical measurement system. The method is based on geometric operations used to calculate the rotation axes of each joint. Once all the rotation axes are identified, the complete kinematic model is calculated using the Denavit-Hartenberg (DH) parameters. The effectiveness of the proposed method was validated on a 7-DoF Franka Emika Panda robot. The results show a significant improvement in absolute accuracy. Thanks to the optical measurement system, the proposed method can be easily automated to improve collaborative robot accuracy, especially in applications that require high positioning accuracy.

This work was supported by Slovenian Research Agency grant P2-0076.

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References

  1. Abderrahim, M., Whittaker, A.R.: Kinematic model identification of industrial manipulators. Robot. Comput.-Integr. Manuf. 16(1), 1–8 (2000)

    Article  Google Scholar 

  2. Brau-Avila, A., Acero, R., Santolaria, J., Valenzuela-Galvan, M., Icasio-Hernández, O.: Kinematic parameter identification procedure of an articulated arm coordinate measuring machine based on a metrology platform. Int. J. Adv. Manuf. Technol. 104(1–4), 1027–1040 (2019)

    Article  Google Scholar 

  3. Cheng, L., Wang, W., Weng, Y., Shi, G., Yang, H., Lu, K.: A novel kinematic parameters identification method for articulated arm coordinate measuring machines using repeatability and scaling factor. Math. Probl. Eng. 2018 (2018)

    Google Scholar 

  4. Faria, C., Vilaça, J.L., Monteiro, S., Erlhagen, W., Bicho, E.: Automatic denavit-hartenberg parameter identification for serial manipulators. In: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, vol. 1, pp. 610–617 (2019). https://doi.org/10.1109/IECON.2019.8927455

  5. Hayat, A.A., Chittawadigi, R.G., Udai, A.D., Saha, S.K.: Identification of denavit-hartenberg parameters of an industrial robot. In: AIR 2013, pp. 1–6. Association for Computing Machinery, New York (2013)

    Google Scholar 

  6. He, R., Zhao, Y., Yang, S., Yang, S.: Kinematic-parameter identification for serial-robot calibration based on POE formula. IEEE Trans. Rob. 26(3), 411–423 (2010)

    Article  Google Scholar 

  7. Ketchel, J.S., Larochelle, P.M.: Collision detection of cylindrical rigid bodies using line geometry. In: Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - DETC 2005, vol. 7 B, pp. 811–825 (2005)

    Google Scholar 

  8. Liu, Y., Li, Y., Zhuang, Z., Song, T.: Improvement of robot accuracy with an optical tracking system. Sensors 20(21), 1–26 (2020)

    Article  Google Scholar 

  9. Majarena, A.C., Conte, J., Santolaria, J., Acero, R.: A new methodology for kinematic parameter identification in laser trackers. In: Kinematics. InTech, December 2017. https://doi.org/10.5772/intechopen.71444

  10. Rajeevlochana, C., Subir, S., Shivesh, K.: Automatic extraction of DH parameters of serial manipulators using line geometry. In: The 2nd Joint International Conference on Multibody System Dynamics (May), pp. 1–9 (2012)

    Google Scholar 

  11. Shen, H., Meng, Q., Li, J., Deng, J., Wu, G.: Kinematic sensitivity, parameter identification and calibration of a non-fully symmetric parallel Delta robot. Mech. Mach. Theory 161, 104311 (2021)

    Google Scholar 

  12. Siciliano, B., Sciavicco, L., Villani, L., Oriolo, G.: Robotics - Modelling, Planning and Control. Springer, London (2009). https://doi.org/10.1007/978-1-84628-642-1

    Book  Google Scholar 

  13. Umbach, D., Jones, K.N.: A few methods for fitting circles to data. IEEE Trans. Instrum. Meas. 52(6), 1881–1885 (2003)

    Article  Google Scholar 

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Correspondence to Leon Žlajpah .

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Žlajpah, L., Petrič, T. (2022). Geometric Identification of Denavit-Hartenberg Parameters with Optical Measuring System. In: Müller, A., Brandstötter, M. (eds) Advances in Service and Industrial Robotics. RAAD 2022. Mechanisms and Machine Science, vol 120. Springer, Cham. https://doi.org/10.1007/978-3-031-04870-8_1

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