SENSOR GRAPHS FOR GUARANTEED COOPERATIVE LOCALIZATION PERFORMANCE

Y. Yuan and H.G. Tanner

References

  1. [1] L.E. Parker, Current state of the art in distributed autonomousmobile robotics, In L. E. Parker, G. Bekey & J. Barhen (Eds.),Proceedings of the 5th International Symposium on DistributedAutonomous Robotic Systems, Springer-Verlag, Tokyo, October2000, 3–12.
  2. [2] M. Schneider-Font´an & M.J. Matari´c, Territorial multirobottask division, IEEE Transactions of Robotics and Automation,14(5), 1998, 815–822.
  3. [3] Y. Arai, T. Fujii, H. Asama, H. Kaetsu, & I. Endo, Realizationof autonomous navigation in multirobot environment, Proc. ofthe IEEE/RSJ lnternational Conference on lntelligent Robotsand Systems, Victoria B.C., Canada, 1998, 1999–2004.
  4. [4] S.L. Sun, Optimal fusion distributed filter for discrete multi-channel ARMA signals, Control and Intelligent Systems, 34(1),2006, 80–86.
  5. [5] S.I. Roumeliotis & G.A. Bekey, Distributed multi-robot lo-calization, Distributed Autonomous Robotic Systems, 4, 2000,179–188.
  6. [6] R.A. Cortez & H.G. Tanner, Radiation mapping using mul-tiple robots, Proc. of the 2nd Intl. Joint Topical Meeting onEmergency Preparedness & Response and Robotic & RemoteSystems, Albuquerque, NM, 2008.
  7. [7] H.G. Tanner, R.A. Cortez, & R. Lumia, Distributed roboticradiation mapping, in G.J. Pappas, O. Khatib & V. Kumar(Eds.), Experimental Robotics – The Eleventh InternationalSymposium, Vol. 54 of Springer tracts in advanced robotics,Berlin, Heidelberg, Springer, 2009, 147–156.
  8. [8] A. Mourikis & S. Roumeliotis, Performance bounds for co-operative simultaneous localization and mapping, Robotics:Science and Systems, Boston, MA, 2005, 73–80.
  9. [9] D. Simon, Reduced order Kalman filtering without modelreduction, Control and Intelligent Systems, 35(2), 2007, 169–174.
  10. [10] D. Kumar & H.G. Tanner, How sensor graph topology affectslocalization accuracy, Proc. of the European Control Confer-ence, Kos, Greece, 2007, 868–873.
  11. [11] Y. Hidaka, A. Mourikis, & S. Roumeliotis, Optimal sensingstrategies for mobile robot formations, Robotics: Science andSystems, Boston, MA, 2005, 281–288.
  12. [12] M.W.M.G. Dissanayake, P. Newman, S. Clark, H.F. Durrant-Whyte, & M. Csorba, A solution to the simultaneous localiza-tion and map building (SLAM) problem, IEEE Transactionson Robotics and Automation, 17(3), 2001, 229–241.
  13. [13] H. Choset & K. Nagatani, Topological simultaneous localiza-tion and mapping (SLAM): Toward exact localization with-out explicit localization, IEEE Transactions on Robotics andAutomation, 17(2), 2001, 125–137.
  14. [14] S. Thrun, W. Burgard, & D. Fox, A probabilistic approachto concurrent mapping and localization for mobile robots,Autonomous Robots, 5, 1998, 1–25.
  15. [15] S. Thrun, D. Fox, W. Burgard, & F. Dellaert, Robust MonteCarlo localization for mobile robots, Artificial Intelligence,128(1–2), 2000, 99–141.
  16. [16] W. Burgard, D. Fox, M. Moors, R. Simmons, & S. Thrun, Col-laborative multi-robot exploration, IEEE International Con-ference on Robotics and Automation, 1, 2000, 476–481.
  17. [17] D. Fox, Markov localization: A probabilistic framework formobile robot localization and navigation, Ph.d. Dissertation,University of Bonn, Bonn, 1998.
  18. [18] W. Burgard, D. Fox, D. Henning, & T. Schmidt, Estimating theabsolute position of a mobile robot using position probabilitygrids, National Conference on Artificial Intelligence, 2, 1996,896–901.
  19. [19] S. Thrun, A probabilistic online mapping algorithm for teamsof mobile robots, International Journal of Robotics Research,20, 2001, 335–363.
  20. [20] R. Kurazume, S. Nagata, & S. Hirose, Cooperative position-ing with multiple robots, IEEE International Conference onRobotics and Automation, 2, 1994, 1250–1257.
  21. [21] E.W. Nettleton, P.W. Gibbens, & H.F. Durrant-Whyte, Closedform solutions to the multiple platform simultaneous localiza-tion and map building (SLAM) problem, Proceedings of theSPIE, 4051, 2000, 428–437.
  22. [22] K. Whitehouse & D. Culler, Macro-calibration in sen-sor/actuator networks, Mobile Networks and Applications, 8,2003, 463–472.
  23. [23] N. Patwari, J.N. Ash, S. Kyperountas, A.O. Hero III, R.L.Moses, & N.S. Correal, Locating the nodes: Cooperative38localization in wireless sensor networks, IEEE Signal ProcessingMagazine, 22(4), 2005, 54–69.
  24. [24] H. Chan, M. Luk, & A. Perrig, Using clustering informationfor sensor network localization, in V.K. Prasanna, S. Iyengar,P. Spirakis, & M. Welsh (Eds.), Distributed computing insensor systems, Vol. 3560, Berlin, Heidelberg, (Springer, 2005),109–125.
  25. [25] W. Sun, Lower bounds of the minimal eigenvalue of a hermitianpositive-definite matrix, IEEE Transactions on InformationTheory, 46(7), 2000, 2760–2762.
  26. [26] D. Park & B.G. Le, On determining upper bounds of maximaleigenvalue of hermitian positive-definite matrix, IEEE SignalProcessing Letters, 10(9), 2003, 267–269.
  27. [27] L.M. Delves, On the temple lower bound for eigenvalues,Journal of Physics A: General Physics, 5, 1972, 1123–1130.
  28. [28] A.I. Mourikis & S.I. Roumeliotis, Predicting the performanceof cooperative simultaneous localization and mapping (c-slam),International Journal of Robotics Research, 25(12), New York,2006, 1273–1286.
  29. [29] C. Godsil & G. Royle, Algebraic graph theory, (Springer, NY:2001).
  30. [30] B. Mohar, Laplacian spectrum of graphs, Graph Theory,Combinatorics and Applications, 2, 1991, 871–898.
  31. [31] T.J. Otahal & H.G. Tanner, An extended Kalman filter imple-mentation for the Khepera II mobile robot, Technical ReportME-TR-08-001, The University of New Mexico, Albuquerque,New Mexico, 2008.
  32. [32] E. Ivanjko, I. Petrovi´c, & M. Vasˇsak, Sonar-based pose trackingof indoor mobile robots. Automatika, 45(3–4), 2004, 145–154.

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