Referenced Items are not available for this document.
A local navigation algorithm for mobile robots is proposed, based on the new extended virtual force field (EVFF) concept, neural network-based fusion for the three primitive behaviors generated by the EVFF, and the evolutionary programming-based optimization of the neural network weights. Furthermore, a multi-network version of the above neurally-combined EVFF has been proposed that lends itself not only to an efficient architecture but also to a greatly enhanced generalization capability. These techniques have been verified through both simulation and real experiments under a collection of complex environments
Published in:
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
(Volume:2
)
Date of Conference: 2000
- Page(s):
- 1238 - 1244 vol.2
- Meeting Date :
- 16 Jul 2000-19 Jul 2000
- Print ISBN:
- 0-7803-6375-2
- INSPEC Accession Number:
- 6735722
- Conference Location :
- La Jolla, CA
- Digital Object Identifier :
- 10.1109/CEC.2000.870792
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