Skip to main content

MINERVA: A Tour-Guide Robot that Learns

  • Conference paper
  • First Online:
KI-99: Advances in Artificial Intelligence (KI 1999)

Abstract

This paper describes an interactive tour-guide robot which was successfully exhibited in a Smithsonian museum. Minerva employed a collection of learning techniques, some of which were necessary to cope with the challenges arising from its extremely large and crowded environment, whereas others were used to aid the robot’s interactive capabilities. During two weeks of highly successful operation, the robot interacted with thousands of people, traversing more than 44km at speeds of up to 163 cm/sec in the un-modified museum.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. W. Burgard, A. B., Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun. The interactive museum tour-guide robot. AAAI-98.

    Google Scholar 

  2. W. Burgard, D. Fox, D. Hennig, and T. Schmidt. Estimating the absolute position of a mobile robot using position probability grids. AAAI-98.

    Google Scholar 

  3. A. Elfes. Occupancy Grids: A Probabilistic Framework for Robot Perception and Navigation. PhD thesis, CMU, 1989.

    Google Scholar 

  4. C. Breazeal (Ferrell). A motivational system for regulating human-robot interaction. AAAI-98.

    Google Scholar 

  5. D. Fox, W. Burgard, and S. Thrun. The dynamic window approach to collision avoidance. IEEE Robotics and Automation, 4(1), 1997.

    Google Scholar 

  6. D. Fox, W. Burgard, and S. Thrun. A hybrid collision avoidance method for mobile robots. ICRA-98.

    Google Scholar 

  7. D. Fox, W. Burgard, S. Thrun, and A. B. Cremers. Position estimation for mobile robots in dynamic environments. AAAI-98.

    Google Scholar 

  8. I. Horswill. Specialization of perceptual processes. TR 1511, MIT, AI Lab.

    Google Scholar 

  9. R. A. Howard. Dynamic Programming and Markov Processes. MIT Press, 1960.

    Google Scholar 

  10. L. P. Kaelbling, A. R. Cassandra, and J. A. Kurien. Acting under uncertainty: Discrete bayesian models for mobile-robot navigation. IROS-96.

    Google Scholar 

  11. J.-C. Latombe. Robot Motion Planning. Kluwer, 1991.

    Google Scholar 

  12. F. Lu and E. Milios. Globally consistent range scan alignment for environment mapping. Autonomous Robots, 4, 1997.

    Google Scholar 

  13. D. McDermott. The RPL manual, 1993. Can be obtained from http://www.cs.yale.edu/HTML/YALE/CS/HyPlans/mcdermott.html

  14. I. R. Nourbakhsh. The failures of a self-reliant tour robot with no planner. Can be obtained at http://www.cs.cmu.edu/~illah/SAGE/index.html, 1998.

  15. R. Simmons and S. Koenig. Probabilistic robot navigation in partially observable environments. IJCAI-95.

    Google Scholar 

  16. R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998.

    Google Scholar 

  17. H. Takeda, C. Facchinetti, and J.-C. Latombe. Planning the motions of mobile robot in a sensory uncertainty field. IEEE Trans. on Pattern Analysis and Machine Intelligence, 16(10):1002–1017, 1994.

    Article  Google Scholar 

  18. S. Thrun. Learning metric-topological maps for indoor mobile robot navigation. Artificial Intelligence, 99(1), 1998.

    Google Scholar 

  19. S. Thrun, D. Fox, and W. Burgard. A probabilistic approach to concurrent mapping and localization for mobile robots. Machine Learning, 31, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Thrun, S. et al. (1999). MINERVA: A Tour-Guide Robot that Learns. In: Burgard, W., Cremers, A.B., Cristaller, T. (eds) KI-99: Advances in Artificial Intelligence. KI 1999. Lecture Notes in Computer Science(), vol 1701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48238-5_2

Download citation

  • DOI: https://doi.org/10.1007/3-540-48238-5_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66495-6

  • Online ISBN: 978-3-540-48238-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics