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Using neural networks to model the open environment for mobile robot navigation

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3 Author(s)
Najand, S. ; Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA ; Lo, Z.-P. ; Bavarian, B.

The application of the Kohonen self-organizing topology preserving neural network for learning and developing a minimal representation for the open environment for mobile robot navigation is presented. The input to the algorithm is the coordinates of randomly selected points in the open environment. No specific knowledge of the size, number, and shape of the obstacles is needed by the network. The parameter selection for the network is discussed and two illustrative examples are presented

Published in:
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on

Date of Conference: 13-16 Oct 1991

Page(s):
865 - 870 vol.2
Meeting Date :
13 Oct 1991-16 Oct 1991
Print ISBN:
0-7803-0233-8
INSPEC Accession Number:
4244058
Conference Location :
Charlottesville, VA
Digital Object Identifier :
10.1109/ICSMC.1991.169795
Product Type:
Conference Publications

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