Skip to main content

Industry-Oriented Performance Measures for Design of Robot Calibration Experiment

  • Conference paper
  • First Online:
New Trends in Mechanism and Machine Science

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 7))

Abstract

The paper focuses on the accuracy improvement of geometric and elasto-static calibration of industrial robots. It proposes industry-oriented performance measures for the calibration experiment design. They are based on the concept of manipulator test-pose and referred to the end-effector location accuracy after application of the error compensation algorithm, which implements the identified parameters. This approach allows the users to define optimal measurement configurations for robot calibration for given work piece location and machining forces/torques. These performance measures are suitable for comparing the calibration plans for both simple and complex trajectories to be performed. The advantages of the developed techniques are illustrated by an example that deals with machining using robotic manipulator.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hollerbach, J.M., Khalil, W., Gautier, M.: Model identification. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, Part B, pp. 321–344. Springer, Berlin (2008)

    Chapter  Google Scholar 

  2. Meggiolaro, M.A., Dubowsky, S., Mavroidis, C.: Geometric and elastic error calibration of a high accuracy patient positioning system. Mech. Mach. Theory 40, 415–427 (2005)

    Article  MATH  Google Scholar 

  3. Khalil, W., Besnard, S.: Geometric calibration of robots with flexible joints and links. J. Intell. Robot. Syst. 34, 357–379 (2002)

    Article  MATH  Google Scholar 

  4. Daney, D.: Optimal measurement configurations for Gough platform calibration. Robot. Autom. ICRA/IEEE Int. Conf. 1, 147–152 (2002)

    Google Scholar 

  5. Daney, D., Papegay, Y., Madeline, B.: Choosing measurement poses for robot calibration with the local convergence method and tabu search. Int. J. Robot. Res. 24(6), 501–518 (2005)

    Article  Google Scholar 

  6. Atkinson, A.C., Donev, A.N.: Optimal Experiment Designs. Oxford University Press, Oxford (1992)

    Google Scholar 

  7. Pashkevich, A., Klimchik, A., Chablat, D.: Enhanced stiffness modeling of manipulators with passive joints. Mech. Mach. Theory 46, 662–679 (2011)

    Article  MATH  Google Scholar 

  8. Imoto, J., Takeda, Y., Saito, H., Ichiryu, K.: Optimal kinematic calibration of robots based on maximum positioning-error estimation (Theory and application to a parallel-mechanism pipe bender). In: Computational Kinematics, pp. 133–140. Springer, Berlin/Heidelberg (2009)

    Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge the financial support of the Project ANR-2010-SEGI-003-02-COROUSSO.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anatol Pashkevich .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Wu, Y., Klimchik, A., Pashkevich, A., Caro, S., Furet, B. (2013). Industry-Oriented Performance Measures for Design of Robot Calibration Experiment. In: Viadero, F., Ceccarelli, M. (eds) New Trends in Mechanism and Machine Science. Mechanisms and Machine Science, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4902-3_55

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-4902-3_55

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-4901-6

  • Online ISBN: 978-94-007-4902-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics