Skip to main content

Coordinated Use of Multiple Sensors in a Robotic Workcell

  • Conference paper
Book cover Multisensor Fusion for Computer Vision

Part of the book series: NATO ASI Series ((NATO ASI F,volume 99))

  • 152 Accesses

Abstract

Three issues pertinent to a coordinated use of multiple sensors in a robot workcell are described. First we discuss how range maps obtained from multiple viewpoints — these viewpoints may correspond to range sensors located at different locations — can be fused to generate a single combined representation of an object. We then take up the subject of how to reason over all the viewpoints and all the available sensors so that the best sensor and the best viewpoint are selected for the maximum disambiguation of all the currently held hypotheses about object identities and their poses. Finally, we discuss how we may use multiple sensors for robotic assembly, each sensor helping execute a portion of the overall task.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. G. Castore, C. Crawford, “From Solid Model to Robot Vision,” Proc. of the IEEE Int’l Conf. on Robotics and Automation, 1984, pp. 90–92.

    Google Scholar 

  2. C. H. Chen and A. C. Kak, “A Robot Vision System for Recognizing 3-D Objects in Low-Order Polynomial Time,” IEEE Transactions on Systems Man and Cybernetics, November/December 1989, pp. 1535–1563.

    Google Scholar 

  3. R. L. Cromwell, “Low and Intermediate Level Processing of Range Maps,” Purdue University Technical Report TR-EE-87–41, 1987.

    Google Scholar 

  4. Z. Gigus and H. Malik “Computing the Aspect Graph for Line Drawings of Polyhedral Objects,” Proc. of the Computer Society Conf. on Computer Vision and Pattern Recognition, IEEE Computer Society Press, 1988, pp. 654–651.

    Google Scholar 

  5. S. N. Gottschlich and A. C. Kak, “A Dynamic Approach to High-Precision Parts Mat- ing,” IEEE Transactions on Systems Man and Cybernetics, vol. 19, no. 4, July/August 1989, pp. 797–810.

    Google Scholar 

  6. E. E. Hartquist, and H. A. Marisa, PADL-2 User’s Manual, Production Automation Pro- ject, University of Rochester, Rochester NY, 1985.

    Google Scholar 

  7. S. A. Hutchinson and A. C. Kak, “SPAR: A Planner that Satisfies Operational and Geometric Goals in Uncertain Environments,” AI MAGAZINE, Spring 1990, pp. 30–61.

    Google Scholar 

  8. S. A. Hutchinson and A. C. Kak, “Planning Sensing Strategies in a Robot Work Cell with Multi-Sensor Capabilities,” IEEE Trans. on Robotics and Automation, December 1989, pp. 765–783.

    Google Scholar 

  9. S. A. Hutchinson, R. L. Cromwell and A. C. Kak “Applying Uncertainty Reasoning to Model Based Object Recognition,” Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition,1989.

    Google Scholar 

  10. A. C. Kak, K. M. Andress, C. Lopez-Abadia, M. S. Carroll and J. R. Lewis, “Hierarchical Evidence Accumulation in the PSEIKI System and Experiments in Model-Driven Mobile Robot Navigation,” Proc. of the Fifth Workshop on Uncertainty in Artificial Intelligence, Windsor Ontario, 1989, pp. 194–207.

    Google Scholar 

  11. J. J. Koenderink and A. J. Van Doorn, “The Internal Representation of Solid Shape with Respect to Vision,” Biological Cybernetics, Vol. 32, 1979, pp. 211–216.

    Article  MATH  Google Scholar 

  12. G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, 1976, Princeton.

    MATH  Google Scholar 

  13. J. H. Stewman, K. W. Bowyer, “Aspect Graphs for Convex Planar-Face Objects,” Proc. of the IEEE Workshop on Computer Vision, Dec. 1987.

    Google Scholar 

  14. S. Tanaka and A. C. Kak, “A Rule-Based Approach to Binocular Stereopsis,” in Analysis and Interpretation of Range Images R. C. Jain and A. K. Jain, editors, Springer-Verlag, NY, 1990.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kak, A.C., Hutchinson, S.A., Chen, C.H., Gottschlich, S.N., Smith, K.D. (1993). Coordinated Use of Multiple Sensors in a Robotic Workcell. In: Aggarwal, J.K. (eds) Multisensor Fusion for Computer Vision. NATO ASI Series, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02957-2_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-02957-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08135-4

  • Online ISBN: 978-3-662-02957-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics