A mobile robot that learns its place

Neural Computation

Volumn 9, Issue 3, 1997, Pages 683-699

  Oore, Sageev ^a   Hinton, Geoffrey E ^a   Dudek, Gregory ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000750778     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/neco.1997.9.3.683     Document Type: Article

References (10)

1. Baum, L. and Eagon, J. (1967). An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology. Bulletin of the American Mathematicians Society, 73.
2. Dudek, G., & Hinton, G. (1992). Navigating without a map by directly transforming sensory input to location. Unpublished manuscript.
3. Dudek, G., Jenkin, M., Milios, E., & Wilkes, D. (1993). Reflections on modelling a sonar range sensor (Tech. Rep. No. CIM-92-9). Montreal: McGill Research Centre for Intelligent Machines, McGill University.
4. Kröse, B., & Eecen, M. (1994). A self-organizing representation of sensor space for mobile robot navigation. In Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems (pp. 9-14). New York: IEEE.
5. Mackay, D. (1991). Bayesian modelling and neural networks. Unpublished doctoral dissertation, California Institute of Technology, Pasadena, CA.
6. Moravec, H. (1988). Sensor fusion in certainty grids for mobile robots. Al Magazine, pp. 61-74.
7. Neal, R., & Hinton, G. (1993). A new view of the EM algorithm that justifies incremental and other variants. Unpublished manuscript.
8. Oore, S. (1995). A mobile robot that learns to estimate its position from a stream of sonar measurements. Unpublished master's thesis, University of Toronto.
9. Thrun, S., Buecken, A., Burgard, W., Fox, D., Froehlinghaus, D., Henning, D., Hofmann, T., Krell, M., & Schmidt, T. (In press.) Map learning and high-speed navigation in RHINO. In D. Kortenkamp, R. Bonasso, & R. Murphy (Eds.), Case Studies of Successful Robot Systems. Cambridge, MA: MIT Press.
10. Wilkes, D., Dudek, G., Jenkin, M., & Milios, E. (1990). A ray following model of sonar range sensing. In Proc. Mobile Robots V, pp. 536-542. Bellingham, WA: International Society for Optical Engineering.