Skip to main content
Log in

Review on kinematics calibration technology of serial robots

  • Review
  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

Robot kinematics calibration is of great significance for improving robot absolute pose accuracy, which can be divided into modelbased and non-parametric kinematics calibration. For model-based kinematics calibration, kinematics calibration modeling, pose measurement of end-effector, kinematics parameters calibration and error compensation are systematically analyzed. And with the increasing demand for autonomy, the autonomous kinematics calibration is introduced. On the other hand, research status of nonparametric kinematics calibration is elaborated, the advantages and disadvantage of which are discussed respectively. On the basis, comprehensive and organized description and summarization of the three kinds of calibrations are given. Overall, aiming at robot kinematics calibration, existing achievements are summarized, a typical calibration process is carried out and calibration precautions are detailed, then calibration results of various methods are compared and analyzed. Finally, existing problems in kinematics calibration are analyzed and development prospects are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Zhao, H., Wang, S., Zhao, H., Li, S., and Wu, S., “Research of Polishing Robot Inverse Calibration,” Proc. of The Sixth World Congress on Intelligent Control and Automation, pp. 2773–2776, 2006.

    Google Scholar 

  2. Lightcap, C., Hamner, S., Schmitz, T., and Banks, S., “Improved Positioning Accuracy of the PA10-6CE Robot with Geometric and Flexibility Calibration,” IEEE Transactions on Robotics, Vol. 24, No. 2, pp. 452–456, 2008.

    Google Scholar 

  3. Li, X. and Zhang, B., “Toward General Industrial Robot Cell Calibration,” Proc. of IEEE Conference on Robotics, Automation and Mechatronics (RAM), pp. 137–142, 2011.

    Google Scholar 

  4. Li, T., Sun, K., Xie, Z. W., and Liu, H., “Optimal Measurement Configurations for Kinematic Calibration of six-DOF Serial Robot,” Journal of Central South University of Technology, Vol. 18, No. pp. 618–626, 2011.

    Google Scholar 

  5. Mooring, B. W., Roth, Z. S., and Driels, M. R., “Fundamentals of Manipulator Calibration,” Wiley New York, pp. 23–40, 1991.

    Google Scholar 

  6. Bernhardt, R. and Albright, S., “Robot Calibration,” Springer, pp. 37–45, 1993.

    Google Scholar 

  7. Hollerbach, J. M. and Wampler, C. W., “The Calibration Index and Taxonomy for Robot Kinematic Calibration Methods,” The International Journal of Robotics Research, Vol. 15, No. 6, pp. 573–591, 1996.

    Google Scholar 

  8. Karan, B. and Vukobratoviæ, M., “Calibration and Accuracy of Manipulation Robot Models-An Overview,” Mechanism and Machine Theory, Vol. 29, No. 3, pp. 479–500, 1994.

    Google Scholar 

  9. Khalil, W. and Dombre, E., “Modeling, Identification and Control of Robots,” Hermes Penton Ltd, pp. 257–288, 2002.

    Google Scholar 

  10. Wang, D. S. and Chi, J. N., “Survey on Robot Kinematics Calibration,” Application Research of Computers,Vol. 24, No. 9, pp. 8–11, 2007.

    MathSciNet  Google Scholar 

  11. Brisan, C. and Hiller, M., “Aspects of Calibration and Control of PARTNER Robots,” Proc. of IEEE International Conference on Automation, Quality and Testing, Robotics, pp. 272–277, 2006.

    Google Scholar 

  12. Gatla, C. S., Lumia, R., Wood, J., and Starr, G., “Calibration of Industrial Robots by Magnifying Errors on a Distant Plane,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3834–3841, 2007.

    Google Scholar 

  13. Frqczek, J. and Busko, Z., “Calibration of Multi Robot System without and Under Load using Electronic Theodolites,” Proc. of the First Workshop on Robot Motion and Control, pp. 71–75, 1999.

    Google Scholar 

  14. Li, T., Sun, K., Jin, Y., and Liu, H., “A Novel Optimal Calibration Algorithm on a Dexterous 6 DOF Serial Robot-with the Optimization of Measurement Poses Number,” Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 975–981, 2011.

    Google Scholar 

  15. Calafiore, G. and Indri, M., “Experiment Design for Robot Dynamic Calibration,” Proc. of IEEE International Conference on Robotics and Automation, pp. 3303–3309, 2008.

    Google Scholar 

  16. Mauricio, J., Motta, S. T., and McMaster, R. S., “Improving Robot Calibration Results using Modeling Optimization,” Proc. of IEEE International Symposium on Industrial Electronics, Vol. 291, pp. 291–296, 1997.

    Google Scholar 

  17. Chen, H., Fuhlbrigge, T., Choi, S., Wang, J., and Li, X., “Practical Industrial Robot Zero Offset Calibration,” Proc. of IEEE International Conference on Automation Science and Engineering, pp. 516–521, 2008.

    Google Scholar 

  18. Wang, W. B., Li, A., and Wu, D., “Robot Calibration by Observing a Virtual Fixed Point,” Proc. of 2009 IEEE International Conference on Robotics and Biomimetics, pp. 1351–1355, 2008.

    Google Scholar 

  19. Ruther, M., Lenz, M., and Bischof, H., “The Narcissistic Robot: Robot Calibration using a Mirror,” Proc. of 11th International Conference on Control Automation Robotics & Vision (ICARCV), pp. 169–174, 2010.

    Google Scholar 

  20. Nahvi, A. and Hollerbach, J. M., “The Noise Amplification Index for Optimal Pose Selection in Robot Calibration,” Proc. of IEEE International Conference on Robotics and Automation, pp. 647–654, 1996.

    Google Scholar 

  21. Qian, G. Z. and Kazerounian, K., “Statistical Error Analysis and Calibration of Industrial Robots for Precision Manufacturing,” The International Journal of Advanced Manufacturing Technology, Vol. 11, No. 4, pp. 300–308, 1996.

    Google Scholar 

  22. Jackson, E., Lin, Z., and Eddy, D., “A Global Formulation of Robot Manipulator Kinematic Calibration based on Statistical Considerations,” Proc. of IEEE International Conference on Systems, Man and Cybernetics, pp. 3328–3333, 1995.

    Google Scholar 

  23. Lei, S., Jingtai, L., Weiwei, S., Shuihua, W., and Xingbo, H., “Geometry-based Robot Calibration Method,” Proc. of IEEE International Conference on Robotics and Automation, pp. 1907–1912, 2004.

    Google Scholar 

  24. Kang, S. H., Pryor, M. W., and Tesar, D., “Kinematic Model and Metrology System for Modular Robot Calibration,” Proc. of IEEE International Conference on Robotics and Automation, pp. 2894–2899, 2004.

    Google Scholar 

  25. Schröer, K., Albright, S. L., and Grethlein, M., “Complete, Minimal and Model-Continuous Kinematic Models for Robot Calibration,” Robotics and Computer-Integrated Manufacturing, Vol. 13, No. 1, pp. 73–85, 1997.

    Google Scholar 

  26. Liu, Z. Y., Chen, Y. L., Qu, D. K., and Xu, F., “Research on Robot Calibration,” Robot, Vol. 24, No. 5, pp. 447–450, 2002.

    Google Scholar 

  27. Wnag, D. S., Li, G. Y., Xu, F., and Xu, X., “Robot Calibration Algorithms and Their Application to Polishing Robot,” Robot, Vol. 27, No. 6, pp. 491–501, 2005.

    Google Scholar 

  28. Bian, Z., “Robot Position Calibration and Error Compensation,” Robot, Vol. 13, No. 1, pp. 36–43, 1991.

    MathSciNet  Google Scholar 

  29. Denavit, J. and Hartenberg, R. S., “A Kinematic Notation for Lower-Pair Mechanisms based on Matrices,” Journal of Applied Mechanics, Vol. 22, pp. 215–221, 1955.

    MATH  MathSciNet  Google Scholar 

  30. Paul, R. P., “Robot Manipulators: Mathematics, Programming, and Control: the Computer Control of Robot Manipulators,” Richard Paul, pp. 41–64, 1981.

    Google Scholar 

  31. Everett, L. J., Driels, M., and Mooring, B. W., “Kinematic Modelling for Robot Calibration,” Proc. of IEEE International Conference on Robotics and Automation. pp. 183–189, 1987.

    Google Scholar 

  32. Hayati, S. A., “Robot Arm Geometric Link Parameter Estimation,” Proc. of 22nd IEEE Conference on Decision and Control, pp. 1477–1483, 1983.

    Google Scholar 

  33. Mooring, B. W., “The Effect of Joint Axis Misalignment on Robot Positioning Accuracy,” Proc. of ASME International Conference on Computers in Engineering, pp. 151–156, 1983.

    Google Scholar 

  34. Hayati, S. and Mirmirani, M., “Improving the Absolute Positioning Accuracy of Robot Manipulators,” Journal of Robotic Systems, Vol. 2, No. 4, pp. 397–413, 1985.

    Google Scholar 

  35. Veitschegger, W. K. and Wu, C. H., “Robot Calibration and Compensation,” IEEE Journal of Robotics and Automation, Vol. 4, No. 6, pp. 643–656, 1988.

    Google Scholar 

  36. Wang, P., Liao, Q. Z., Zhuang, Y. F., and Wei, S. M., “Simulation and Experimentation for Calibration of General 7R Serial Robots,” Robot, Vol. 28, No. 5, pp. 483–487, 2006.

    Google Scholar 

  37. Stone, H. W., “Kinematic Modeling, Identification, and Control of Robotic Manipulators,” Springer, pp. 31–41, 1987.

    Google Scholar 

  38. Stone, H. W., Sanderson, A. C., and Neuman, C. P., “Arm Signature Identification,” Proc. of IEEE International Conference on Robotics and Automation, pp. 41–48, 1986.

    Google Scholar 

  39. Stone, H. W. and Sanderson, A. C., “A Prototype Arm Signature Identification System,” Proc. of IEEE International Conference on Robotics and Automation. pp. 175–182, 1987.

    Google Scholar 

  40. Zhuang, H., Roth, Z. S., and Hamano, F., “A Complete and Parametrically Continuous Kinematic Model for Robot Manipulators,” IEEE Transactions on Robotics and Automation, Vol. 8, No. 4, pp. 451–463, 1992.

    Google Scholar 

  41. Zhuang, H. and Roth, Z. S., “A Linear Solution to the Kinematic Parameter Identification of Robot Manipulators,” IEEE Transactions on Robotics and Automation, Vol. 9, No. 2, pp. 174–185, 1993.

    Google Scholar 

  42. Zhuang, H., Wang, L. K., and Roth, Z. S., “Error-Model-based Robot Calibration using a Modified CPC Model,” Robotics and Computer-Integrated Manufacturing, Vol. 10, No. 4, pp. 287–299, 1993.

    Google Scholar 

  43. Zhuang, H., “Kinematic Modeling, Identification and Compensation of Robot Manipulators,” Ph.D. Thesis, Florida Atlantic University, 1989.

    Google Scholar 

  44. Zhuang, H. and Roth, Z. S., “A Closed Form Solution to the Kinematic Parameter Identification of Robot Manipulators,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 3, pp. 2682–2688, 1991.

    Google Scholar 

  45. Mooring, B. W. and Tang, G. R., “An Improved Method for Identifying the Kinematic Parameters in a Six Axis Robot,” Proc. of International Computers in Engineering Conference and Exhibition, Vol. 1, pp. 79–84, 1984.

    Google Scholar 

  46. Zhong, X. L., Lewis, J. M., and LN-Nagy, F., “Autonomous Robot Calibration using a Trigger Probe,” Robotics and Autonomous Systems, Vol. 18, No. 4, pp. 395–410, 1996.

    Google Scholar 

  47. Suh, C. H. and Radcliffe, C. W., “Kinematics and Mechanisms Design,” Wiley, pp. 45–63, 1978.

    Google Scholar 

  48. Gupta, K. C., “Kinematic Analysis of Manipulators using the Zero Reference Position Description,” The International Journal of Robotics Research, Vol. 5, No. 2, pp. 5–13, 1986.

    Google Scholar 

  49. Park, F. C. and Okamura, K., “Kinematic Calibration and the Product of Exponential Formula,” Advances in Robot Kinematics and Computational Geometry, Chap. 3, pp. 119–128, 1994.

    Google Scholar 

  50. Okamura, K. and Park, F., “Kinematic Calibration using the Product of Exponentials Formula,” Robotica, Vol. 14, No. 4, pp. 415–421, 1996.

    Google Scholar 

  51. Park, F. C., “Computational Aspects of the Product-of-Exponentials Formula for Robot Kinematics,” IEEE Transactions on Automatic Control, Vol. 39, No. 3, pp. 643–647, 1994.

    MATH  Google Scholar 

  52. Chen, I., Yang, G., Tan, C. T., and Yeo, S. H., “Local POE Model for Robot Kinematic Calibration,” Mechanism and Machine Theory, Vol. 36, No. 11, pp. 1215–1239, 2001.

    MATH  Google Scholar 

  53. Chen, I. M. and Yang, G., “Kinematic Calibration of Modular Reconfigurable Robots using Product-of-Exponentials Formula,” Journal of Robotic System, Vol. 14, No. 11, pp. 807–821, 1997.

    MATH  Google Scholar 

  54. Mustafa, S. K., Yang, G., Yeo, S. H., and Lin, W., “Kinematic Calibration of a 7-DOF Self-Calibrated Modular Cable-Driven Robotic Arm,” Proc. of IEEE International Conference on Robotics and Automation, pp. 1288–1293, 2008.

    Google Scholar 

  55. He, R., Zhao, Y., Yang, S., and Yang, S., “Kinematic-Parameter Identification for Serial-Robot Calibration based on POE Formula,” IEEE Transactions on Robotics, Vol. 26, No. 3, pp. 411–423, 2010.

    Google Scholar 

  56. Yang, S., Zhao, Y., He, R., Yang, S., and Han, F., “Experimentation on Identifying the Kinematic Parameters of Serial Mechanism based on the Product-of-Exponential Formula,” Robot, Vol. 33, No. 1, pp. 35–39, 2011.

    Google Scholar 

  57. Xia, T., Sun, H., Han, J., and Yang, J., “Research of Industrial Robot Calibration based on Virtual Closed Kinematic Chain,” Machine Design and Research, Vol. 25, No. 2, pp. 57–59, 2009.

    Google Scholar 

  58. Jung, S. and Ravani, B., “Online Kinematic Jacobian Uncertainty Compensation for Robot Manipulators using Neural Network,” Proc. of IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pp. 3483–3488, 1998.

    Google Scholar 

  59. Gan, Y. and Dai, X., “Base Frame Calibration for Coordinated Industrial Robots,” Robotics and Autonomous Systems, Vol. 59, No. 7, pp. 563–570, 2011.

    Google Scholar 

  60. Ha, I. C., “Kinematic Parameter Calibration Method for Industrial Robot Manipulator using the Relative Position,” Journal of Mechanical Science and Technology, Vol. 22, No. 6, pp. 1084–1090, 2008.

    Google Scholar 

  61. Xueyou, R. and Shenghua, Y., “Method of Robot Calibration based on Laser Tracker,” Chinese Journal of Mechanical Engineering, Vol. 43, No. 9, pp. 195–200, 2007.

    Google Scholar 

  62. Daney, D. and Emiris, I. Z., “Robust Parallel Robot Calibration with Partial Information,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 4, pp. 3262–3267, 2008.

    Google Scholar 

  63. Nubiola, A., Slamani, M., and Bonev, I. A., “A New Method for Measuring a Large Set of Poses with a Single Telescoping Ballbar,” Precision Engineering, Vol. 37, No. 2, pp. 451–460, 2013.

    Google Scholar 

  64. Nafi, A., Mayer, J., and Wozniak, A., “Novel CMM-based Implementation of the Multi-Step Method for the Separation of Machine and Probe Errors,” Precision Engineering, Vol. 35, No. 2, pp. 318–328, 2011.

    Google Scholar 

  65. Santolaria, J., Aguilar, J. J., Yagüe, J. A., and Pastor, J., “Kinematic Parameter Estimation Technique for Calibration and Repeatability Improvement of Articulated Arm Coordinate Measuring Machines,” Precision Engineering, Vol. 32, No. 4, pp. 251–268, 2008.

    Google Scholar 

  66. Zhong, X. L. and Lewis, J. M., “A New Method for Autonomous Robot Calibration,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 2, pp. 1790–1795, 1995.

    Google Scholar 

  67. Chen, G., Jia, Q., Li, T., and Sun, H., “Calibration Method and Experiments of Robot Kinematics Parameters based on Error Model,” Robot, Vol. 34, No. 6, pp. 680–688, 2012.

    Google Scholar 

  68. Schwetlick, H. and Tiller, V., “Numerical Methods for Estimating Parameters in Nonlinear Models with Errors in the Variables,” Technometrics, Vol. 27, No. 1, pp. 17–24, 1985.

    MATH  MathSciNet  Google Scholar 

  69. Vira, N. and Shiferaw, T., “Higher Order Approximation of the Generalized Kinematic Error Compensation Model for Robots,” Computers in Industry, Vol. 12, No. 4, pp. 313–328, 1989.

    Google Scholar 

  70. Dolinsky, J. U., Jenkinson, I., and Colquhoun, G., “Application of Genetic Programming to the Calibration of Industrial Robots,” Computers in Industry, Vol. 58, No. 3, pp. 255–264, 2007.

    Google Scholar 

  71. Xu, W. L., Wurst, K. H., and Pritschow, G., “On the Calibration Model and Method for Improving Robot Accuracy,” Vol. 16, pp. 371–383, 1993.

    Google Scholar 

  72. Nubiola, A. and Bonev, I. A., “Absolute Calibration of an ABB IRB 1600 Robot using a Laser Tracker,” Robotics and Computer-Integrated Manufacturing, Vol. 29, No. 1, pp. 236–245, 2013.

    Google Scholar 

  73. Meloun, M., Militký, J., Kupka, K., and Brereton, R. G., “The Effect of Influential Data, Model and Method on the Precision of Univariate Calibration,” Talanta, Vol. 57, No. 4, pp. 721–740, 2002.

    Google Scholar 

  74. Manne, R., “Analysis of Two Partial-Least-Squares Algorithms for Multivariate Calibration,” Chemometrics and Intelligent Laboratory Systems, Vol. 2, No. 1, pp. 187–197, 1987.

    Google Scholar 

  75. Newey, W. K., “Efficient Instrumental Variables Estimation of Nonlinear Models,” Econometrica: Journal of the Econometric Society, Vol. 58, No. 4, pp. 809–837, 1990.

    MATH  MathSciNet  Google Scholar 

  76. Wampler, C. W., Hollerbach, J. M., and Arai, T., “An Implicit Loop Method for Kinematic Calibration and its Application to Closed-Chain Mechanisms,” IEEE Transactions on Robotics and Automation, Vol. 11, No. 5, pp. 710–724, 1995.

    Google Scholar 

  77. Chen, G., Jia, Q., Li, T., and Sun, H., “Recursive Calibrations for Robot Kinematics Parameters,” Journal of Beijing University of Posts and Telecommunications, Vol. 36, No. 2, pp. 28–32, 2013.

    Google Scholar 

  78. Zhang, Y., Wang, L., and Wu, Q., “Differential Annealing for Global Optimization,” Advances in Swarm Intelligence, Vol. 7331, pp. 382–389, 2012.

    Google Scholar 

  79. Rougée, A., Picard, C., Ponchut, C., and Trousset, Y., “Geometrical Calibration of X-Ray Imaging Chains for Three-Dimensional Reconstruction,” Computerized Medical Imaging and Graphics, Vol. 17, No. 4, pp. 295–300, 1993.

    Google Scholar 

  80. Meggiolaro, M. A. and Dubowsky, S., “An Analytical Method to Eliminate the Redundant Parameters in Robot Calibration,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 4, pp. 3609–3615, 2000.

    Google Scholar 

  81. Wei, G. Q. and Hirzinger, G., “Active Self-Calibration of Hand-Mounted Laser Range Finders,” IEEE Transactions on Robotics and Automation, Vol. 14, No. 3, pp. 493–497, 1998.

    Google Scholar 

  82. Liang, P., Chang, Y. L., and Hackwood, S., “Adaptive Self-Calibration of Vision-based Robot Systems,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 19, No. 4, pp. 811–824, 1989.

    Google Scholar 

  83. Kurbanhusen Mustafa, S., Yang, G., Huat Yeo, S., Lin, W., and Chen, M., “Self-Calibration of a Biologically Inspired 7 DOF Cable-Driven Robotic Arm,” IEEE/ASME Transactions on Mechatronics, Vol. 13, No. 1, pp. 66–75, 2008.

    Google Scholar 

  84. De Angulo, V. R. and Torras, C., “Self-Calibration of a Space Robot,” IEEE Transactions on Neural Networks, Vol. 8, No. 4, pp. 951–963, 1997.

    Google Scholar 

  85. Robinson, P., Orzechowski, P., James, P. W., and Smith, C., “An Automated Robot Calibration System,” Proc. of the IEEE International Symposium on Industrial Electronics, Vol. 1, pp. 285–290, 1997.

    Google Scholar 

  86. Young, K. Y., Chen, J. J., and Wang, C. C., “An Automated Robot Calibration System based on a Variable DH Parameter Model,” Proc. of the 35th IEEE Conference on Decision and Control, Vol. 1, pp. 881–886, 1996.

    Google Scholar 

  87. Tang, Z., Niu, Z., and Liu, X., “Autonomous Calibration Research of Polishing Robot,” Proc. of The Sixth World Congress on Intelligent Control and Automation, Vol. 2, pp. 8938–8942, 2006.

    Google Scholar 

  88. Zhuang, H., Motaghedi, S. H., and Roth, Z. S., “Robot Calibration with Planar Constraints,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 1, pp. 805–810, 1999.

    Google Scholar 

  89. Zhuang, H. and Meng, Y., “Using a Scale: Self-Calibration of a Robot System with a Factor Method,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 3, pp. 2797–2803, 2001.

    Google Scholar 

  90. Wang, D., Bai, Y., and Zhao, J., “Robot Manipulator Calibration using Neural Network and a Camera-based Measurement System,” Transactions of the Institute of Measurement and Control, Vol. 34, No. 1, pp. 105–121, 2010.

    Google Scholar 

  91. Arai, T., Maeda, Y., Kikuchi, H., and Sugi, M., “Automated Calibration of Robot Coordinates for Reconfigurable Assembly Systems,” CIRP Annals-Manufacturing Technology, Vol. 51, No. 1, pp. 5–8, 2002.

    Google Scholar 

  92. Li, H., Jiang, Z., He, Y., and Huang, Q., “Vision-based Space Manipulator Online Self-Calibration,” Proc. of IEEE International Conference on Robotics and Biomimetics pp. 1768–1772, 2009.

    Google Scholar 

  93. Kang, H. J., Jeong, J. W., Shin, S. W., Suh, Y. S., and Ro, Y. S., “Autonomous Kinematic Calibration of the Robot Manipulator with a Linear Laser-Vision Sensor,” Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Vol. 4682, pp. 1102–1109, 2007.

    Google Scholar 

  94. Meng, Y., “Camera-aided Self-Calibration of Robot Manipulators,” Camera-aided Self-Calibration of Robot Manipulators, 2000.

    Google Scholar 

  95. Bennett, D. J., Geiger, D., and Hollerbach, J. M., “Autonomous Robot Calibration for Hand-Eye Coordination,” The International Journal of robotics Research, Vol. 10, No. 5, pp. 550–559, 1991.

    Google Scholar 

  96. Liu, J., Zhang, Y., and Li, Z., “Improving the Positioning Accuracy of a Neurosurgical Robot System,” IEEE/ASME Transactions on Mechatronics, Vol. 12, No. 5, pp. 527–533, 2007.

    Google Scholar 

  97. Watanabe, A., Sakakibara, S., Ban, K., Yamada, M., Shen, G., and Arai, T., “A Kinematic Calibration Method for Industrial Robots using Autonomous Visual Measurement,” CIRP Annals-Manufacturing Technology, Vol. 55, No. 1, pp. 1–6, 2006.

    Google Scholar 

  98. Liu, Y., Liu, H., Ni, F. L., and Xu, W. F., “New Self-Calibration Approach to Space Robots based on Hand-Eye Vision,” Journal of Central South University of Technology, Vol. 18, No. 4, pp. 1087–1096, 2011.

    Google Scholar 

  99. Zhuang, H., Wang, K., and Roth, Z. S., “Simultaneous Calibration of a Robot and a Hand-Mounted Camera,” IEEE Transactions on Robotics and Automation, Vol. 11, No. 5, pp. 649–660, 1995.

    Google Scholar 

  100. Zhuang, H. and Roth, Z. S., “Camera-Aided Robot Calibration,” CRC press, pp. 11–75, 1996.

    Google Scholar 

  101. Song, F., Smith, S. M., and Rizk, C. G., “A Fuzzy Logic Controller Design Methodology for 4d Systems with Optimal Global Performance using Enhanced Cell State Space based Best Estimate Directed Search Method,” Proc. of IEEE International Conference on Systems, Man, and Cybernetics, Vol. 6, pp. 138–143, 1999.

    Google Scholar 

  102. Motta, J. M. S. T., de Carvalho, G. C., and McMaster, R. S., “Robot Calibration using a 3D Vision-based Measurement System with a Single Camera,” Robotics and Computer-Integrated Manufacturing, Vol. 17, No. 6, pp. 487–497, 2001.

    Google Scholar 

  103. Campion, G., Fiorini, P., and Martelli, S., “Robot Calibration Using Mobile Camera,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 1, pp. 141–146, 2002.

    Google Scholar 

  104. Bai, Y., Zhuang, H., and Roth, Z. S., “Experiment Study of PUMA Robot Calibration using a Laser Tracking System,” Proc. of IEEE International Workshop on Soft Computing in Industrial Applications, pp. 139–144, 2003.

    Google Scholar 

  105. Bai, Y. and Zhuang, H., “Modeless Robots Calibration in 3D Workspace with an On-Line Fuzzy Interpolation Technique,” Proc. of IEEE International Conference on Systems, Man and Cybernetics, Vol. 6, pp. 5233–5239, 2004.

    Google Scholar 

  106. Lewis, J. M., Zhong, X. L., and Rea, H., “A Neural Network Approach to the Robot Inverse Calibration Problem,” Proc. of 2nd International Conference on Intelligent System Engineering, pp. 342–347, 1994.

    Google Scholar 

  107. Meng, Y. and Zhuang, H. Q., “Autonomous Robot Calibration using Vision Technology,” Robotics and Computer-Integrated Manufacturing, Vol. 23, No. 4, pp. 436–446, 2007.

    Google Scholar 

  108. Shamma, J. S. and Whitney, D. E., “A Method for Inverse Robot Calibration,” Journal of Dynamic Systems, Measurement, and Control, Vol. 109, No. 1, pp. 36–43, 1987.

    Google Scholar 

  109. Ghosh, J. and Shin, Y., “Efficient Higher-Order Neural Networks for Classification and Function Approximation,” International Journal of Neural Systems, Vol. 3, No. 4, pp. 323–350, 1992.

    Google Scholar 

  110. Jiang, F. C., “On the Model Identification and Control of Robots based on Neural Networks,” Ph.D. Thesis, Beijing University of Technology, 2003.

    Google Scholar 

  111. Wang, D. S., Liu, X. G., and Xu, X. H., “Calibration of the Arc-Welding Robot by Neural Network,” Proc. of International Conference on Machine Learning and Cybernetics, Vol. 7, pp. 4064–4069.

  112. Zhong, X. and Lewis, J. M., “Inverse Robot Calibration using Artificial Neural Networks,” Engineering Applications of Artificial Intelligence, Vol. 9, No. 1, pp. 83–93, 1996.

    Google Scholar 

  113. Chen, C. L. P. and McAulay, A., “Robot Kinematics Learning Computations using Polynomial Neural Networks,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 3, pp. 2638–2643, 1991.

    Google Scholar 

  114. Huang, C., Xie, C., and Zhang, T., “Determination of Optimal Measurement Configurations for Robot Calibration based on a Hybrid Optimal Method,” Proc. of IEEE International Conference on Information and Automation, pp. 789–793, 2008.

    Google Scholar 

  115. Zhuang, H., Wu, J., and Huang, W., “Optimal Planning of Robot Calibration Experiments by Genetic Algorithms,” Proc. of IEEE International Conference on Robotics and Automation, Vol. 2, pp. 981–986, 2008.

    Google Scholar 

  116. Daokui, Q., Jintao, W., Meng, P., Dianguo, X., and Zhenyu, L., “Hybrid Calibration of a Five-axis Robot based on Modeless and Model-based Methods,” Proc. of Second International Conference on Innovative Computing, Information and Control, pp. 612–612, 2007.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chen-Gang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen-Gang, Li-Tong, Chu-Ming et al. Review on kinematics calibration technology of serial robots. Int. J. Precis. Eng. Manuf. 15, 1759–1774 (2014). https://doi.org/10.1007/s12541-014-0528-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-014-0528-1

Keywords

Navigation