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
Abderrahim, M., Whittaker, A.R.: Kinematic model identification of industrial manipulators. Robot. Comput.-Integr. Manuf. 16(1), 1–8 (2000)
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)
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)
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
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)
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)
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)
Liu, Y., Li, Y., Zhuang, Z., Song, T.: Improvement of robot accuracy with an optical tracking system. Sensors 20(21), 1–26 (2020)
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
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)
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)
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
Umbach, D., Jones, K.N.: A few methods for fitting circles to data. IEEE Trans. Instrum. Meas. 52(6), 1881–1885 (2003)
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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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DOI: https://doi.org/10.1007/978-3-031-04870-8_1
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