Skip to main content

Distributed Localization and Mapping with a Robotic Swarm

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3342))

Abstract

We describe a project where behaviors of robot swarms are designed and studied for use in a distributed mapping domain. Behaviors are studied in both simulation and physical robots. We discuss the advantages and challenges of swarm robotics, in general and specific to our research. Software implementations and algorithms are introduced, as well as methodologies for the creation and assessment of swarm behaviors.

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. Balch, T., Parker, L.E.: Robot Teams: From Diversity to Polymorphism. A. K. Peters, Wellesley (2002)

    Google Scholar 

  2. Bonabeau, E., Meyer, C.: Swarm intelligence: A whole new way to think about business. Harvard Business Review, 107–114 (May 2001)

    Google Scholar 

  3. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  4. Cao, Y.U., Fukunaga, A.S., Kahng, A.B.: Cooperative mobile robotics: Antecedents and directions. Autonomous Robots 4, 1–23 (1997)

    Article  Google Scholar 

  5. Dorigo, M., Şahin, E. (eds).: Swarm robotics - special issue editorial. Autonomous Robots 17, 111–113 (2004)

    Article  Google Scholar 

  6. Gage, D.W.: Sensor Abstractions to Support Many-Robot Systems. In: Proceedings of SPIE Mobile Robots VII, Boston MA, vol. 1831, pp. 235–246 (1992)

    Google Scholar 

  7. Gage, D.W.: Minimum-resource distributed navigation and mapping. In: SPIE Mobile Robots XV, Boston, MA, vol. 4195 (2000)

    Google Scholar 

  8. Gaudiano, P., Shargel, B., Bonabeau, E., Clough, B.: Swarm Intelligence: a New C2 Paradigm with an Application to Control of Swarms of UAVs. In: 8th International Command and Control Research and Technology Symposium (2003)

    Google Scholar 

  9. Gerkey, B.P., Vaughan, R.T., Støy, K., Howard, A., Sukhtame, G.S., Matarić, M.J.: Most Valuable Player: A Robot Device Server for Distributed Control. In: Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), Wailea, Hawaii, pp. 1226–1231 (2001)

    Google Scholar 

  10. Hayes, T.: How Many Robots? Group Size and Efficiency in Collective Search Tasks. In: Proc. of the 6th Int. Symp. on Distributed Autonomous Robotic Systems DARS 2002, Fukuoka, Japan, June 2002, pp. 289–298 (2002)

    Google Scholar 

  11. Howard, A., Matarić, M.J., Sukhatme, G.S.: Localization for Mobile Robot Teams Using Maximum Likelihood Estimation. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 434–459 (2002)

    Google Scholar 

  12. Howard, A., Matarić, M., Sukhatme, G.S.: An Incremental Self-Deployment Algorithm for Mobile Sensor Networks. Autonomous Robots Special Issue on Intelligent Embedded Systems 13(2), 113–126 (2002)

    MATH  Google Scholar 

  13. Krieger, M.J.B., Billeter, J.-B.: The call of duty: Self organized task allocation in a population of up to twelve mobile robots. Robotics and Autonomous Systems 30, 65–84 (2000)

    Article  Google Scholar 

  14. Kurazume, R., Hirose, S.: An experimental study of a cooperative positioning system. Autonomous Robots 8(1), 43–52 (2000a)

    Article  Google Scholar 

  15. Kurazume, R., Hirose, S.: Development of a cleaning robot system with cooperative positioning system. Autonomous Robots 9(3), 237–246 (2000b)

    Article  Google Scholar 

  16. Martinoli, A.: Swarm Intelligence in Autonomous Collective Robotics: From Tools to the Analysis and Synthesis of Distributed Collective Strategies, Ph.D. Thesis Nr.2069, DI-EPFL, Lausanne, Switzerland (1999)

    Google Scholar 

  17. Matarić, M.: Reinforcement learning in the multi-robot domain. Autonomous Robots 4, 73–83 (1996)

    Article  Google Scholar 

  18. Matarić, M.: Learning in Behavior-Based, Multi-Robot Systems: Policies, Models and other Agents. Cognitive Systems Research 2, 81–93 (2001)

    Article  Google Scholar 

  19. Rekleitis, I., Dudek, G., Milios, E.: Multi-robot collaboration for robust exploration. Annals of Mathematics and Artificial Intelligence 31(1-4), 7–40 (2001)

    Article  Google Scholar 

  20. Rekleitis, I.M., Dudek, G., Milios, E.: Multi-robot cooperative localization: A study of trade-offs between efficiency and accuracy. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland (2002)

    Google Scholar 

  21. Swarmbot web site, http://www.irobot.com/rd/p07_Swarm.asp

  22. Thrun, S.: A probabilistic online mapping algorithm for teams of mobile robots. International Journal of Robotics Research 20(5), 335–363 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rothermich, J.A., Ecemiş, M.İ., Gaudiano, P. (2005). Distributed Localization and Mapping with a Robotic Swarm. In: Şahin, E., Spears, W.M. (eds) Swarm Robotics. SR 2004. Lecture Notes in Computer Science, vol 3342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30552-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30552-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24296-3

  • Online ISBN: 978-3-540-30552-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics