Skip to main content

Distributed Robotic Radiation Mapping

  • Conference paper
Experimental Robotics

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 54))

Summary

We develop a control scheme to coordinate a group of mobile sensors for radiation mapping of a given planar polygon region. The scheme is based on the concept of information surfing, where navigation is done by following information gradients, taking into account sensing performance as well as dynamics of the observed process. The control scheme steers mobile sensors to locations at which they maximize the information content of their measurement data. The resulting controllers depend on both time, sensor measurements and local robot configurations, and the approach exploits the asymptotic properties of mutual information to offer an invariance-type stability result for a time-varying distributed cooperative system.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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. Chung, T.H., Gupta, V., Burdick, J.W., Murray, R.M.: On a decentralized active sensing strategy using mobile sensor platforms in a network. In: IEEE Conference on Decision and Control, pp. 1914–1919 (December 2004)

    Google Scholar 

  2. Yang, P., Freeman, R.A., Lynch, K.M.: Distributed cooperative active sensing using consensus filters. In: IEEE International Conference on Robotics and Automation, pp. 404–410 (April 2007)

    Google Scholar 

  3. Zhang, C., Arnold, D., Ghods, N., Siranosian, A., Krstic, M.: Source seeking with nonholonomic unicycle without position measurment part 1: Tuning of forward velocity. In: IEEE Conference on Decision and Control, pp. 3040–3045 (December 2006)

    Google Scholar 

  4. Pang, S., Farrell, J.A.: Chemical plume source localization. IEEE Transactions On Systems, Man, And Cybernetics 36(5), 1068–1080 (2006)

    Article  Google Scholar 

  5. Mesquita, A.R., Hespanha, J.P., Astrom, K.: Optimotaxis: A stochastic multi-agent on site optimization procedure. In: 11th International Conference on Hybrid Systems: Computation and Control (April 2008)

    Google Scholar 

  6. Mayhew, C.G., Sanfelice, R.G., Teel, A.R.: Robust source-seeking hybrid controllers for autonomous vehicles. In: American Control Conference, pp. 1185–1190 (July 2007)

    Google Scholar 

  7. Moorehead, S.J.: Autonomous surface exploration for mobile robots. Ph.D. dissertation, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213 (August 2001)

    Google Scholar 

  8. Grocholsky, B., Keller, J., Kumar, V., Pappas, G.: Cooperative air and ground surveillance. IEEE Robotics and Automation Magazine, 16–26 (September 2006)

    Google Scholar 

  9. Grocholsky, B., Makarenko, A., Durrant-Whyte, H.: Information-theoretic coordinated control of multiple sensor platforms. In: IEEE International Conference on Robotics and Automation, pp. 1521–1526 (September 2003)

    Google Scholar 

  10. Olfati-Saber, R.: Distributed tracking for mobile sensor networks with information-driven mobility. In: American Control Conference, pp. 4606–4612 (July 2007)

    Google Scholar 

  11. Sujan, V.A., Dubowsky, S.: Visually guided cooperative robot actions based on information quality. Autonomous Robots 19, 89–110 (2005)

    Article  Google Scholar 

  12. Popa, D.O., Stephanou, H.E., Helm, C., Sanderson, A.C.: Robotic deployment of sensor networks using potential fields. In: IEEE International Conference on Robotics and Automation, pp. 642–647 (April 2004)

    Google Scholar 

  13. Martinez, S., Cortes, J., Bullo, F.: Motion coordination with distributed information. In: TBA (2006)

    Google Scholar 

  14. Cortes, J., Martinez, S., Bullo, F.: Spatially-distributed converage optimization and control with limited-range interactions. ESIAM: Control, Optimization and Calculus of Variations 11(4), 691–719 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  15. Hussein, I.I., Stipanović, D.M.: Effective coverage control for mobile sensor networks. In: IEEE Conference on Decision and Control, pp. 2746–2751 (December 2006)

    Google Scholar 

  16. Lilienthal, A., Duckett, T.: Building gas concentration gridmaps with a mobile robot. Robotics and Autonomous Systems 48(1), 3–16 (2004)

    Article  Google Scholar 

  17. Orgen, P., Fiorelli, E., Leonard, N.E.: Cooperative control of mobile sensor networks: Adaptive gradient climbing in a distributed environment. IEEE Transactions on Automatic Control 49(8), 1292–1302 (2004)

    Article  Google Scholar 

  18. Singh, A., Nowak, R., Ramanathan, P.: Active learning for adaptive sensing newtorks. In: 5th International Conference on Information Processing in Sensor Networks, pp. 60–68 (2006)

    Google Scholar 

  19. Kumar, A., Tanner, H.G., Klimenko, A.V., Borozdin, K., Priedhorsky, W.C.: Automated sequential search for weak radiation sources. In: IEEE Mediterranean Confrence on Control and Automation (June 2006)

    Google Scholar 

  20. Cortez, R., Papageorgiou, X., Tanner, H.G., Klimenko, A.V., Borozdin, K.N., Priedhorsky, W.C.: Experimental implementation of robotic sequential nuclear search. In: Proceedings of the IEEE 15th Mediterranean Conference on Control and Automation (June 2007)

    Google Scholar 

  21. Wald, A.: Sequential tests of statistical hypotheses. Annals of Mathematical Statistics 16, 117–186 (1945)

    Article  MATH  MathSciNet  Google Scholar 

  22. Cortez, R., Papageorgiou, X., Tanner, H., Klimenko, A., Borozdin, K., Lumia, R., Priedhorsky, W.: Smart radiation sensor management; radiation search and mapping using mobile robots. IEEE Robotics & Automation Magazine 15(3), 85–93 (2008)

    Article  Google Scholar 

  23. Klimenko, A., Priedhorsky, W.C., Hegartner, N., Borozdin, K.N.: Efficient strategies for low-statistics nuclear searches. IEEE Transactions on Nuclear Science 53(3), 1435–1442 (2006)

    Article  Google Scholar 

  24. Cortez, R.A., Tanner, H.G., Lumia, R.: The entropy of cooperative radiation sensing by distributed sensors. In: 2nd International Joint Topical Meeting on Emergency Preparedness & Response and Robotic & Remote Systems (October 2008) (in print)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cortez, R.A., Tanner, H.G., Lumia, R. (2009). Distributed Robotic Radiation Mapping. In: Khatib, O., Kumar, V., Pappas, G.J. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00196-3_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-00196-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00195-6

  • Online ISBN: 978-3-642-00196-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics