Making Sensor Networks Practical with Robots

  • Anthony LaMarca
  • Waylon Brunette
  • David Koizumi
  • Matthew Lease
  • Stefan B. Sigurdsson
  • Kevin Sikorski
  • Dieter Fox
  • Gaetano Borriello
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2414)


While wireless sensor networks offer new capabilities, there are a number of issues that hinder their deployment in practice. We argue that robotics can solve or greatly reduce the impact of many of these issues. Our hypothesis has been tested in the context of an autonomous system to care for houseplants that we have deployed in our office environment. This paper describes what we believe is needed to make sensor networks practical, the role robots can play in accomplishing this, and the results we have obtained in developing our application.


Sensor Node Wireless Sensor Network Mobile Robot Calibration Data Sensor Reading 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    ActivMedia Robotics,, visited Feb. 2002.
  2. 2.
    P. Bahl and V. Padmanabhan. RADAR: An in-building RF-based user location and tracking system. In Proceedings of IEEE INFOCOM, volume 2, pages 775–784, March 2000.Google Scholar
  3. 3.
    P. Bhagwat et al. System Design Issues for Low-Power, Low-Cost Short Range Wireless Networking. In IEEE International Conference on Personal Wireless Communications, 1999, pp. 264–268.Google Scholar
  4. 4.
    M. Bhardwaj, A. Chandrakasan, and T. Garnett. Upper Bounds on the Lifetime of Sensor Networks. IEEE International Conference on Communications, 2001, vol. 3 pp. 785–790.Google Scholar
  5. 5.
    D. Box et al. Simple Object Access Protocol (SOAP) 1.1, World Wide Web Consortium (W3C), May 2000., visited Feb. 2002.
  6. 6.
    Burgard, W., A. Cremers, D. Fox, D. Haehnel, G. Lakemeyer, D. Schulz, W. Steiner and S. Thrun. 1999. Experiences with an interactive museum tour-guide robot. Artificial Intelligence.Google Scholar
  7. 7.
    J. Byers and G. Nasser. Utility-Based Decision-Making in Wireless Sensor Networks. In IEEE MobiHoc, 2000.Google Scholar
  8. 8.
    W. S. Conner, L. Krishnamurthy, and R. Want, Making Everyday Life Easier Using Dense Sensor Networks. In Proceedings of the Third International Conference on Ubiquitous Computing (Ubicomp 2001), 49–55. 2001.Google Scholar
  9. 9.
    Embedded, Everywhere: A Research Agenda for Networked Systems of Embedded Computers. Computer Science and Telecommunications Board (CSTB) Report.Google Scholar
  10. 10.
    Endres, H., W. Feiten, and G. Lawitzky. 1998. Field test of a navigation system: Autonomous cleaning in supermarkets. In Proc. of the 1998 IEEE International Conference on Robotics & Automation (ICRA 98).Google Scholar
  11. 11.
    Engelberger, G. 1999. Services. In Nof, S. Y., ed., Handbook of Industrial Robotics. John Wiley and Sons, 2nd edition. Chapter 64, 1201–1212.Google Scholar
  12. 12.
    D. Fox, S. Thrun, F. Dellaert, and W. Burgard. Particle filters for mobile robot localization. Springer-Verlag, New York, 2001.Google Scholar
  13. 13.
    M. Hauser, L. Kraus, and P. Ripka, Giant magnetoimpedance sensors. IEEE Instrumentation & Measurement Magazine, 2001, Volume 4 Issue 2, pp. 28–32.CrossRefGoogle Scholar
  14. 14.
    J. Hiedemann et al. Building Efficient Wireless Sensor Networks with Low-Level Naming, SOSP, 2001.Google Scholar
  15. 15.
    J. Hightower, R Want, and G Borriello. SpotON: An indoor 3d location sensing technology based on RF signal strength. UW-CSE Tech Report 00-02-02, University of Washington, Department of Computer Science and Engineering, Seattle, WA, February 2000.Google Scholar
  16. 16.
    J. Hill, R. Szewcyk, A. Woo, D. Culler, S. Hollar, K. Pister. 2000. System Architecture Directions for Networked Sensors. Architectural Support for Programming Languages and Operating Systems 2000.Google Scholar
  17. 17.
    J. W. Hines, A. Gribok, and B. Rasmussen. On-Line Sensor Calibration Verification: “A Survey”. 14th International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, September 2001.Google Scholar
  18. 18.
    A. Howard, M.J. Mataric, and G.S. Sukhatme. Relaxation on a mesh: A formalism for generalized localization. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2001), 2001.Google Scholar
  19. 19.
    C. Jaikaeo, C. Srisathapornphat, and C.-C. Shen. Communications, 2001. ICC 2001. IEEE International Conference on, Volume: 5, 2001, pp. 1627–1632.Google Scholar
  20. 20.
    J. M. Kahn, R. H. Katz and K. S. J. Pister. Next Century Challenges: Mobile Networking for “Smart Dust”. MobiCom, 1999, pp. 271–278.Google Scholar
  21. 21.
    S. King, and C. Weiman. 1990. Helpmate autonomous mobile robot navigation system. In Proceedings of the SPIE Conference on Mobile Robots. 190–198. Volume 2352.Google Scholar
  22. 22.
    G. Lacey, and K. Dawson-Howe. 1998. The application of robotics to a mobility aid for the elderly blind. Robotics and Autonomous Systems 23:245–252.CrossRefGoogle Scholar
  23. 23.
    P. Lehel, E. Hemayed, and A. Farag. Sensor planning for a trinocular active vision system. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999-312 Vol. 2.Google Scholar
  24. 24.
    F. Michaud et al. Experiences with with an autonomous robot attending AAAI. IEEE Intelligent Systems, 2001, Volume: 16 Issue: 5, pp. 23–29.CrossRefGoogle Scholar
  25. 25.
    I. Nourbakhsh, J. Bobenage, S. Grange, R. Lutz, R. Meyer, and A. Soto. An affective mobile educator with a full-time job. Artificial Intelligence, 114(1–2):95–124, 1999.zbMATHCrossRefGoogle Scholar
  26. 26.
    J. Paradiso and M. Feldmeier, A Compact, Wireless, Self-Powered Pushbutton Controller. In Proceedings of the Third International Conference on Ubiquitous Computing (Ubicomp 2001), 299–304. 2001.Google Scholar
  27. 27.
    G. Pottie. Wireless SensorNetworks In Information Theory Workshop, 1998, pp. 139–140.Google Scholar
  28. 28.
    J. Rabaey and et al. PicoRadio Supports Ad Hoc Ultra-Low Power Wireless Networking. IEEE Computer, July 2000, Vol. 33, No. 7, pp. 42–48.Google Scholar
  29. 29.
    N. Roy, G. Baltus, D. Fox, F. Gemperle, J. Goetz, T. Hirsch, D. Margaritis, M. Montemerlo, J. Pineau, J. Schulte and S. Thrun. 2000. Towards personal service robots for the elderly. In Workshop on Interactive Robots and Entertainment (WIRE 2000).Google Scholar
  30. 30.
    G. Schimetta, F. Dollinger, and R. Weigel. A wireless pressure-measurement system using a SAW hybrid sensor. IEEE Transactions on Microwave Theory and Techniques, 2000, Volume 48 Issue 12, pp. 2730–2735.CrossRefGoogle Scholar
  31. 31.
    L. Schwiebert et al. Research Challenges in wireless networks of biomedical sensors. In MobiCom, 2001.Google Scholar
  32. 32.
    Sony AIBO homepage. Visited in February 2002.
  33. 33.
    S. Thrun, W. Burgard, and D. Fox. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping. In Proc. of the IEEE International Conference on Robotics & Automation (ICRA 2000), 2000.Google Scholar
  34. 34.
    S. Thrun, M. Bennewitz, W. Burgard, A. Cremers, F. Dellaert, D. Fox, D. Haehnel, C. Rosenberg, N. Roy, J. Schulte and D. Schulz. 1999. MINERVA: A second generation mobile tour-guide robot. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).Google Scholar
  35. 35.
    E. Tunstel, R. Welch, and B. Wilcox. Embedded Control of A Miniature Science Rover For Planetary Exploration. 7th International. Symposium. on Robotics with Applications, 1998.Google Scholar
  36. 36.
    Ward A. Ward, A. Jones, A. Hopper. A New Location Technique for the Active Office. IEEE Personal Communications, Vol. 4, No. 5, October 1997, pp. 42–47.CrossRefGoogle Scholar
  37. 37.
    Xu et al. On-Line Sensor Calibration Monitoring And Fault Detection For Chemical Processes. Maintenance and Reliability Conference (MARCON 98), Knoxville, TN, May 12–14, 1998.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Anthony LaMarca
    • 1
  • Waylon Brunette
    • 2
  • David Koizumi
    • 1
  • Matthew Lease
    • 1
  • Stefan B. Sigurdsson
    • 1
  • Kevin Sikorski
    • 2
  • Dieter Fox
    • 2
  • Gaetano Borriello
    • 1
    • 2
  1. 1.Intel Research Laboratory @ SeattleUSA
  2. 2.Department of Computer Science & EngineeringUniversity of WashingtonUSA

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