Skip to main content

Integrating Vision and Touch for Grasping of an Object

  • Chapter

Abstract

The aim of this paper is to present considerations that go into the design of a system that will be able to grasp a variety of objects. Grasping depends on the assumption of two properties: The shape and size of the three-dimensional object and on the task that follows after grasping; hence, our interest in the integrated approach to 3-D shape recognition. We shall present an overview of currently available and being developed algorithms for representation and recognition of three-dimensional shape of an object as perceived by visual and/or tactile sensors. For the visual sensor we assume that we have available stereo cameras or their equivalent. As the tactile sensor we use an articulated multifingered hand equipped with tactile sensory arrays as the data acquisition device. We shall present available configurations of these devices. Then we shall investigate the sensory processing, in particular, what representation schemas should be considered. We shall argue that the object-centered representation as opposed to observer-centered representation is more important for grasping. Finally, a rule based schema for the control strategies will be outlined. As examples, first some artificial geometric objects then some real laboratory objects from the blocks world will be analyzed.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. S. Barnard and M. Fischler, “Computational stereo,” ACM Comp. Surveys, Vol. 14, No. 4, December 1982.

    Google Scholar 

  2. L. Blumenthal, “A surface follower and edge detector for the finger,” Computer and Information Science Dept., Univ. of Pennsylvania, Senior Project, May 1983.

    Google Scholar 

  3. V. Buono, “The lord sensor,” Computer and Information Science Dept., Univ. of Pennsylvania, Senior Project, May 1983.

    Google Scholar 

  4. R. Mohr and R. Bajcsy, “Packing volumes by spheres,” IEEE Trans. on PAMI, Vol. 6, No. 1, January 1983.

    Google Scholar 

  5. C. A. Dane, “An object-centered ‘three-dimensional model builder,” Ph.D. dissertation, Computer Science Dept., Univ. of Pennsylvania, Philadelphia, 1982.

    Google Scholar 

  6. R. Bajcsy, “What can one learn from one finger experiments?,” Proceedings of the International Symposium of Robotics Research, 1983, Bretton Woods, NH, August 1983.

    Google Scholar 

  7. G. I. Kinoshita, S. Aida, and M. Mori, “A pattern classification by dynamic tactile sense information processing,” Pattern Recognition, Vol. 7, pp. 243–251, 1975.

    Article  MATH  Google Scholar 

  8. T. Okada and S. Tsuchiya, “Object recognition by grasping,” Pattern Recognition, Vol. 9, pp. 111–119, 1977.

    Article  Google Scholar 

  9. H. Ozaki, S. Waku, A. Mohri, and M. Takata, “Pattern recognition of a grasped object by unit-vector distribution,” IEEE Trans. on Systems, Man and Cybernetics, Vol. SMC-12, No. 3, pp. 315–324, May/June 1982.

    Google Scholar 

  10. R. Bajcsy, “Shape From Touch,” in Advances in Automation and Robotics, (G. N. Saridis, ed.) JAI Press, 1984.

    Google Scholar 

  11. P. Allen, “Visually driven tactile recognition and acquisition,” Image Processing and Robotics, Washington, DC, June 1982.

    Google Scholar 

  12. L. DeRisi, “3-D data acquisition system,” M.S. thesis, Univ. of Pennsylvania, Philadelphia, 1982.

    Google Scholar 

  13. L. Harmon, “Automated tactile sensing,” Int. J. Robotics Research, 1 (2), pp. 3–33, 1982.

    Article  Google Scholar 

  14. W. D. Hillis, “A high resolution image touch sensor,” Int. J. Robotics Research, 1 (2) pp. 33–44, 1982.

    Article  Google Scholar 

  15. R. Bajcsy and K. I. Goldberg, “A new approach to robotic tactile perception,” submitted to J. Cognition and Brain Theory, 1983.

    Google Scholar 

  16. R. Bajcsy, M. J. McCarthy, and J. C. Trinkle, “Feeling by grasping,” Proc. IEEE Int. Conf. on Robotics, Atlanta, 1984.

    Google Scholar 

  17. J. D. Abramowitz, J. W. Goodnow, and B. Paul, “Pennsylvania Articulated Mechanical Hand,” Proc. Int. Conf. on Computers and Engineering, ASME, Chicago, August 1983.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1985 Plenum Press, New York

About this chapter

Cite this chapter

Bajcsy, R. (1985). Integrating Vision and Touch for Grasping of an Object. In: Tou, J.T. (eds) Computer-Based Automation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-7559-3_17

Download citation

  • DOI: https://doi.org/10.1007/978-1-4684-7559-3_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-7561-6

  • Online ISBN: 978-1-4684-7559-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics