Abstract
Online implementation of robotic hand-eye calibration consists in determining the relative pose between the robot gripper/end-effector and the sensors mounted on it, as the robot makes unplanned movement. With noisy measurements, inevitable in real applications, the calibration is sensitive to small rotations. Moreover, degenerate cases such as pure translations are of no effect in hand-eye calibration. This paper proposes an algorithm of motion selection for hand-eye calibration. Using this method, not only can we avoid the degenerate cases, but also the small rotations to decrease the calibration error. Thus, the procedure lends itself to an online implementation of hand-eye calibration, where degenerate cases and small rotations frequently occur in the sampled motions. Simulation and real experiments validate our method.
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References
Shiu, Y.C., Ahmad, S.: Calibration of wrist-mounted robotic sensors by solving homogeneous transform equations of the form AX = XB. IEEE Trans. Robot. Automat. 5, 16–29 (1989)
Tsai, R.Y., Lenz, R.K.: A new technique for fully autonomous and efficient 3d robotics hand/eye calibration. IEEE Trans. Robot. Automat. 5, 345 (1989)
Chen, H.: A screw motion approach to uniqueness analysis of head-eye geometry. In: Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition, Maui, Hawaii, USA, June 1991, pp. 145–151 (1991)
Wang, C.: Extrinsic calibration of a robot sensor mounted on a robot. IEEE Trans. Robot. Automat. 8(2), 161–175 (1992)
Zhuang, H., Shiu, Y.C.: A Noise-Tolerant Algorithm for Robotic Hand-Eye Calibration With or Without Sensor Orientation Measurement. IEEE Trans. on System, Man and Cybernetics 23(4), 1168–1175 (1993)
Horaud, R., Dornaika, F.: Hand–eye calibration. Int. J. Robot. Res. 14(3), 195–210 (1995)
Daniilidis, K.: Hand-eye calibration using dual quaternions. Int. J. Robot. Res. 18(3), 286–298 (1999)
Malm, H., Heyden, A.: A new approach to hand-eye calibration. In: Proc. 15th Int. Conf. Pattern Recognition, September 2000, vol. 1, pp. 525–529 (2000)
Ma, S.: A self-calibration technique for active vision systems. IEEE Trans. Robot. Automat. 12(1), 114–120 (1996)
Wei, G., Arbter, K., Hirzinger, G.: Active self-calibration of robotic eyes and hand-eye relationships with model identification. IEEE Trans. Robot. Automat. 14(1), 158–166 (1998)
Malm, H., Heyden, A.: Simplified intrinsic camera calibration and hand-eye calibration for robot vision. In: Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems, October 2003, vol. 1, pp. 1037–1043 (2003)
Angeles, J., Soucy, G., Ferrie, F.P.: The online solution of the hand-eye problem. IEEE Trans. Robot. Automat. 16, 720–731 (2000)
Andreff, N., Horaud, R., Espiau, B.: On-line hand-eye calibration. In: Proc. Int. Conf. on 3-D Digital Imaging and Modeling, October 1999, pp. 430–436 (1999)
Andreff, N., Horaud, R., Espiau, B.: Robot hand-eye calibration using structure- from-motion. Int. J. Robot. Res. 20(3), 228–248 (2001)
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© 2005 Springer-Verlag Berlin Heidelberg
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Shi, F., Wang, J., Liu, Y. (2005). An Approach to Improve Online Hand-Eye Calibration. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_78
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DOI: https://doi.org/10.1007/11492429_78
Publisher Name: Springer, Berlin, Heidelberg
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