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Collaborative Robots for Infrastructure Security Applications

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Mobile Robots: The Evolutionary Approach

Part of the book series: Studies in Computational Intelligence ((SCI,volume 50))

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References

  1. Q. Du, V. Faber, and M. Gunzburger. Centroidal Voronoi tessellations, theory, algorithms and applications. SIAM Review, 41:637-676, 1999.

    Article  MATH  MathSciNet  Google Scholar 

  2. J. T. Feddema, C. Lewis, and P. Klarer. Control of multiple robotic sentry vehicles. In Proceedings of SPIE Unmanned Ground Vehicle Technology, SPIE, volume 3693, pp. 212-223, 1999.

    Google Scholar 

  3. K. Fregene, R. Madhavan, and L.E. Parker. Incremental Multiagent Robotic Mapping of Outdoor Terrains. In Proceedings of the IEEE International Con-ference on Robotics and Automation, pp. 1339-1346, May 2002.

    Google Scholar 

  4. Y. Guo and L. E. Parker. A distributed and optimal motion planning approach for multiple mobile robots. In Proceedings of IEEE International Conference on Robotics and Automation, pp. 2612-2619, May 2002.

    Google Scholar 

  5. Y. Guo and Z. Qu. Coverage control for a mobile robot patrolling a dynamic and uncertain environment. In Proceedings of World Congress on Intelligent Control and Automation, pp. 4899-4903, China, June 2004.

    Google Scholar 

  6. Y. Guo, Z. Qu, and J. Wang. A new performance-based motion planner for nonholonomic mobile robots. In Proceedings of the 3rd Performance Metrics for Intelligent Systems Workshop, NIST, Gaithersburg, MD, Sept. 2003.

    Google Scholar 

  7. T. Heath-Pastore, H.R. Everett, and K. Bonner. Mobile Robots for Outdoor Security Applications. In Proceedings of the American Nuclear Society 8th International Topical Meeting on Robotics and Remote Systems, April 1999.

    Google Scholar 

  8. A. L. Hodgkin and A. F. Huxley. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. Lond., 117:500-544, 1952.

    Google Scholar 

  9. R. Madhavan, K. Fregene, and L.E. Parker. Distributed Cooperative Outdoor Multirobot Localization and Mapping. In Autonomous Robots (Special Issue on Analysis and Experiments in Distributed Multi-Robot Systems), Vol. 17, Issue 1, pp. 2339, 2004.

    Google Scholar 

  10. F. Muniz, E. Zalama, P. Gaudiano, and J. Lopez-Coronado. Neural controller for a mobile robot in a nonstationary environment. In Proceedings of 2nd IFAC Conference on Intelligent Autonomous Vehicles, Helsinki, Finland, pp. 279-284, 1995.

    Google Scholar 

  11. L. E. Parker, K. Fregene, Y. Guo, and R. Madhavan. Distributed heterogeneous sensing for outdoor multi-robot localization, mapping, and path planning. In A. C. Schultz and L. E. Parker, editors, Multi-Robot Systems: From Swarms to Intelligent Automata, pp. 21-30. Kluwer, The Netherlands, 2002.

    Google Scholar 

  12. Z. Qu, J. Wang, and C. E. Plaisted. A new analytical solution to mobile robot trajectory generation in the presence of moving obstacles. In Proceedings of 2003 Florida Conference on Recent Advances in Robotics, May 2003. Also submitted to IEEE Transactions on Robotics and Automation.

    Google Scholar 

  13. S. X. Yang and C. Luo. A neural network approach to complete coverage path planning. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 34(1):718-725, 2004.

    Article  Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Guo, Y., Parker, L.E., Madhavan, R. (2007). Collaborative Robots for Infrastructure Security Applications. In: Nedjah, N., Coelho, L.d.S., Mourelle, L.d.M. (eds) Mobile Robots: The Evolutionary Approach. Studies in Computational Intelligence, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49720-2_9

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  • DOI: https://doi.org/10.1007/978-3-540-49720-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49719-6

  • Online ISBN: 978-3-540-49720-2

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