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67. Thrun S.: Learning maps for indoor mobile robot navigation. Artificial Intelligence,
99(1). (1998) 21-71
68. Thrun, S.: “Robotic mapping: A survey.” In G. Lakemeyer and B. Nebel, editors,
Exploring Artificial Intelligence in the New Millennium, Morgan Kaufmann. (2003)
1-35
69. Thrun, S., Bennewitz, M., Burgard, W., Cremers, A. B., Dellaert, F., Fox, D., Hah-
nel, D., Rosenberg, C., Roby, N., Schutle, J., and Schultz, D.: “Minerva: A second
generation mobile tour-guide robot.” In Proceedings of the IEEE International
Conference on Robotics and Automation(ICRA-99) (1999)
70. Thrun, S., Fox, D., Burgard, W., and Dellaert, F.: Robust monte carlo localization
for mobile robots. Artificial Intelligence, 128(1-2). (2001) 99-141
71. Trullier, O., Wiener, S. I., Berthoz, A., and Meyer, J. A.: Biologically-based ar-
tificial navigation systems: Review and prospects. Progress in Neurobiology, 51.
(1997) 483-544
72. Webb, B.: Can robots make good models of biological behavior? Behavioral and
Brain Sciences, 24(6). (2001)
73. Wu, H., Siegel, M., Stiefelhagen, R., and Yang, J.: Sensor fusion using dempster-
shafer theory. In proceedings of the IEEE Instrumentation and Measurement Tech-
nology Conference. (2002)
74. Yamauchi, B., Schultz, A., and Adams, W.: Mobile robot exploration and map-
building with continuous localization. In Proceedings of the IEEE International
Conference on Robotics and Automation (1998) 3715-3720
75. Yanco, H. A.: Wheelesley, a robotic wheelchair system: Indoor navigation and
user interface. Lecture Notes in Artificial Intelligence: Assistive Technology and
Artificial Intelligence (1998) 256-268
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