Abstract
This paper proposes a calibration method for enhancing position accuracy of robotic manipulators. In order to increase the robot accuracy, the method first develops a robot kinematic model and then identifies the robot geometric parameters by using an extended Kalman filtering (EFK) algorithm. The Kalman filter has advantages in identifying geometric parameters from the noisy measurements. Therefore, the obtained kinematic parameters are more precise. A simulation study of this calibration is performed for a PUMA 560 robot to prove the effectiveness of the method in increasing robot position accuracy.
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References
Elatta, A.Y., et al.: An Overview of Robot Calibration. Infor. Tech. J. 3, 74–78 (2004)
Mooring, B.W., et al.: Fundamental of Manipulator calibration. John Wiley & Son (1991)
To, M., Webb, P.: An improved kinematic model for calibration of serial robots having closed-chain mechanisms. Robotica, 1-9 (2011)
Gong, C., Yuan, J., Ni, J.: Non-geometric error identification and compensation for robotic system by inverse calibration. Int. J. of M. Tools and Manu. 40(14), 2119–2137 (2000)
Judd, R.P., Knasinski, A.B.: A Technique to Calibrate Industrial Robots with Experimental Verification. IEEE Trans. on Robotics and Automation 6(1), 20–30 (1990)
Aoyagi, S., et al.: Improvement of Robot Accuracy by Calibrating Kinematic Model Using a Laser Tracking System, Compensation of Non-Geometric Errors Using Neural Networks and Selection of Optimal Measuring Points Using Genetic Algorithm. In: IEEE/ Int. Conf. on Intelligent Robots and Systems, pp. 5660–5665 (2010)
Joon, H.J., Soo, H.K., Yoon, K.K.: Calibration of geometric and non-geometric errors of an industrial robot. Robotica 19(3), 311–321 (2001)
Zak, G., et al.: Application of the Weighted Least Squares Parameter Estimation Method to the Robot Calibration. J. of Mechanical Design/Trans. of ASME 116, 890–893 (1994)
Park, I.W., et al.: Laser-Based Kinematic Calibration of Robot Manipulator Using Differential Kinematics. IEEE/ASME Trans. on Mechatronics 99, 1–9 (2011)
Hartenberg, R.S., Denavit, J.: A kinematic notation for lower pair mechanisms based on matrices. Trans. ASME/ J. of Applied Mechanics 77, 215–221 (1955)
Graig, J.J.: Introduction to Robotics: Mechanics and Control, 2nd edn. Add. Wiley (1989)
Hayati, S., Tso, K., Roston, G.: Robot Geometry Calibration. In: Proc. IEEE Int. Conf. on Robotics and Automation, vol. 2, pp. 947–951 (1988)
Veitschegger, W., Wu, C.-H.: Robot Accuracy Analysis Based on Kinematics. IEEE Journal of Robotics and Automation 2(3), 171–179 (1986)
Bennett, D.J., Hollerbach, J.M.: Autonomous Calibration of Single-Loop Closed Kinematic Chains Formed by Manipulators with Passive Endpoint Constraints. IEEE Transactions on Robotics and Automation 7(5), 597–606 (1991)
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Nguyen, HN., Zhou, J., Kang, HJ., Ro, YS. (2013). Robot Geometric Parameter Identification with Extended Kalman Filtering Algorithm. In: Huang, DS., Gupta, P., Wang, L., Gromiha, M. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2013. Communications in Computer and Information Science, vol 375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39678-6_28
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DOI: https://doi.org/10.1007/978-3-642-39678-6_28
Publisher Name: Springer, Berlin, Heidelberg
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