Abstract
In this paper a new method for geometric robot calibration is introduced, which uses a calibration plate with precisely known distances between its measuring points. The relative measurement between two points on the calibration plate is used to determine predefined error parameters of the system. In comparison to conventional measurement methods, like laser tracker or motion capture systems, the calibration plate provides a more mechanically robust and cheaper alternative, which is furthermore easier to transport due to its small size. The calibration method, the plate design, the mathematical description of the error system as well as the identification of the parameters are described in detail. For identifying the error parameters, the least squares method and a constrained optimization problem are used. The functionality of this method was demonstrated in experiments that led to promising results, correlated with one of a laser tracker calibration. The modeling and identification of the error parameters is done for a gantry machine, but is not restricted to that type of robot.
This work has been supported by the “LCM - K2 Center for Symbiotic Mechatronics” within the framework of the Austrian COMET-K2 program.
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References
Nubiola, A., Bonev, I.A.: Absolute calibration of an ABB IRB 1600 robot using a laser tracker. Robot. Comput.-Integr. Manuf. 29(1), 236–245 (2013)
Nubiola, A., Slamani, M., Joubair, A., Bonev, I.A.: Comparison of two calibration methods for a small industrial robot based on an optical CMM and a laser tracker. Robotica 32(3), 447–466 (2014)
Gatla, C.S., Lumia, R., Wood, J., Starr, G.: An automated method to calibrate industrial robots using a virtual closed kinematic chain. IEEE Trans. Robot. 23(6), 1105–1116 (2007)
Gattringer, H., Neubauer, M., Kaserer, D., Müller, A.: A novel method for geometric robot calibration using laser pointer and cameras. In: Advances in Service and Industrial Robotics: Proceedings of the 26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017, pp. 200–207. Springer, Berlin (2018)
Three-Dimensional Gantry YXCR: https://www.festo.com/gb/en/p/three-dimensional-gantry-id_YXCR. Accessed 14 Dec 2023
Usamentiaga, R., Garcia, D.: Multi-camera calibration for accurate geometric measurements in industrial environments. Measurement 134, 345–358 (2019)
Siciliano, B., Khatib, O. (eds.): Springer Handbook of Robotics. Springer, Berlin (2008)
Heikkila, J.: Geometric camera calibration using circular control points. IEEE Trans. Pattern Anal. Mach. Intell. 22(10), 1066–1077 (2000)
Smyth, G.K.: Nonlinear regression. Encyclop. Environ. 3, 1405–1411 (2002)
Andersson, J.A.E., Gillis, J., Horn, G., Rawlings, J.B., Diehl, M.: CasADi—a software framework for nonlinear optimization and optimal control. In: Mathematical Programming Computation (2018)
Leica Absolute Tracker AT930: https://hexagon.com/products/leica-absolute-tracker-at930. Accessed 19 Dec 2023
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Rameder, B., Gattringer, H., Müller, A. (2024). Geometric Robot Calibration Using a Calibration Plate. In: Pisla, D., Carbone, G., Condurache, D., Vaida, C. (eds) Advances in Service and Industrial Robotics. RAAD 2024. Mechanisms and Machine Science, vol 157. Springer, Cham. https://doi.org/10.1007/978-3-031-59257-7_31
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DOI: https://doi.org/10.1007/978-3-031-59257-7_31
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