Abstract
Robotic eye-in-hand configuration is very useful in many applications. Essential in the use of this configuration is robotic hand-eye calibration. The method proposed in this paper, calibrating the optical axis of the camera and a target pattern, creates an environment for camera calibration without using additional equipment. By using the geometric relation between the optical axis and the robot hand, calibration of the optical axis and the target pattern becomes a feasible process. The proposed method requires identification of the points intersected by the optical axis with the target pattern. Image-processing techniques for identifying these intersection points are developed and implemented by designing the target pattern with a checkerboard pattern. The accuracy issue of the proposed method is discussed. Finally, experimental results are presented to verify the proposed method.
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References
Puskorius, G. and Feldkamp, L.: Global calibration of a robot/vision system, inProc. IEEE Int. Conf. Robotics and Automation, Vol. 1, 1987, pp. 190–195.
Izaguirre, A., Summers, J., and Pu, P.: A new development in camera calibration, calibrating a pair of mobile cameras,Int. J. Robotics Res. 6 (1987), 104–116.
Shiu, Y. and Ahmad, S.: Finding the mounting position of a sensor by solving a homogeneous transformation equation of the formAX =XB, inProc. IEEE Int. Conf. Robotic and Automation, Vol. 3, 1987, pp. 1666–1671.
Tsai, R., Y. and Lenz, R. K.: Real time versatile robotics hand/eye calibration using 3D machine vision, inProc. IEEE Int. Conf. Robotics and Automation, Vol. 1, (April 1988), pp. 554–561.
Liang, P., Lee, J. F., and Hackwood, S.: A general framework for robot hand-eye coordination, inProc. IEEE Int. Conf. Robotics and Automation (April 1988), pp. 254–278.
Lee, J. F., Hirai, S., and Hackwood, S.: Robot hand/eye coordination, inProc. IEEE Int. Electronic Manufacturing Technology Symp. (October 1987), pp. 250–257.
Sobel, I.: On calibrating computer controlled cameras for perceiving 3-D scenes,Artificial Intelligence 5 (1974), 185–198.
Horaud, R., Mohr, R., and Lorecki, B.: Linear-camera calibration, inProc. IEEE Int. Conf. Robotics and Automation (May 1992), pp. 1539–1554.
Martins, H. A., Birk, J. R., and Kelly, R. B.: Camera models based on data from two calibration planes,Computer Graphics and Image Processing 17 (1981), 173–180.
Gremban, K. D., Thorpe, C. E., and Kanade, T.: Geometric camera calibration using systems of linear equations, inProc. IEEE Int. Conf. Robotics and Automation, Vol. 1 (April 1988), pp. 562–567.
Champlebous, G., Lavallee, S., Sautot, P., and Cinquin, P.: Accurate calibration of cameras and range imaging sensors: the npbs method, inProc. IEEE Int. Conf. Robotics and Automation (May 1992), pp. 1552–1557.
Tsai, R.: Synopsis of recent progress on camera calibration for 3rd machine vision, inThe Robotics Review 1, MIT Press, 1989, pp. 147–159.
Willson, R. and Shafer, S.: What is the center of the image, Carnegie Mellon University Technical Report CMU-CS-93-122, 1993.
Brogan, W.:Modern Control Theory, 2nd edn, Prentice-Hall, Englewood Cliffs, NJ, 1985.
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Chen, C., Stitt, S. & Zheng, Y.F. Robotic eye-in-hand calibration by calibrating optical axis and target pattern. J Intell Robot Syst 12, 155–173 (1995). https://doi.org/10.1007/BF01258384
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DOI: https://doi.org/10.1007/BF01258384