Skip to main content

An intelligent observer

  • Chapter 4 Human Augmentation
  • Conference paper
  • First Online:
Experimental Robotics IV

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 223))

Abstract

This paper describes an integrated mobile robotic system dubbed the intelligent observer (IO). The IO is a mobile robot which moves through an environment (such as an office building or a factory) while autonomously observing moving targets selected by a human operator. The robot carries one or more cameras which allow it to track objects while at the same time sensing its own location. It interacts with a human user who issues task-level commands, such as indicating a target to track by clicking in a camera image. The user could be located far away from the observer itself, communicating with the robot over a network. As the IO performs its tasks, the system provides real-time visual feedback to the user. We have implemented a prototype of the IO which integrates basic versions of five major components: landmark detection, target tracking, motion planning, motion control, and user interface. We have performed initial experiments using this prototype, which demonstrate the successful integration of these components and the utility of the overall systems.

This research was founded by ARPA grant N00014-94-1-0721-P01 (ONR) and by an NSF/ARPA contract for ANVIL through the University of Pennsylvania. C. Becker is supported in part by an NSF Graduate Fellowship.

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. C. Becker, J. Salas, K. Tokusei, and J.C. Latombe. Reliable navigation using landmarks. In Proc. IEEE Int'l Conference on Robotics and Automation, 1995.

    Google Scholar 

  2. J.F. Canny. A computational approach to edge detection. IEEE Transactions on PAMI, 8(6):679–698, 1986.

    Google Scholar 

  3. S. Hutchinson. Exploiting visual constraints in robot motion planning. In Proc. IEEE Int'l Conference on Robotics and Automation, pages 1722–1727, 1991.

    Google Scholar 

  4. D.P. Huttenlocher, J.J. Noh, and W.J. Rucklidge. Tracking non-rigid objects in complex scenes. Technical Report Tech. Rep. 92-1320, Cornell University Department of Computer Science, 1992.

    Google Scholar 

  5. D.J. Kriegman, E. Triendl, and T.O. Binford. Stereo vision and navigation in buildings for mobile robots. IEEE Transactions on Robotics and Automation, 5(6):792–803, 1989.

    Article  Google Scholar 

  6. A. Lazanas and J.C. Latombe. Landmark-based robot navigation. Algorithmica, 13:472–501, 1995.

    Article  Google Scholar 

  7. T.S. Levitt, D.T. Lawton, D.M. Chelberg, and P.C. Nelson. Qualitative navigation. In Proc. DARPA Image Understanding Workshop, pages 447–465, 1987.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Oussama Khatib J. Kenneth Salisbury

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag London Limited

About this paper

Cite this paper

Becker, C., González-Baños, H., Latombe, J.C., Tomasi, C. (1997). An intelligent observer. In: Khatib, O., Salisbury, J.K. (eds) Experimental Robotics IV. Lecture Notes in Control and Information Sciences, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035206

Download citation

  • DOI: https://doi.org/10.1007/BFb0035206

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76133-4

  • Online ISBN: 978-3-540-40942-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics