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Fast vision-guided mobile robot navigation using neural networks

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2 Author(s)
Meng, M. ; Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA ; Kak, A.C.

Based on observations of human navigational behaviors, the authors have designed a vision-guided mobile robot navigation system that uses both a knowledge base system for high level supervisory control, and a collection of neural networks that mimic human reactive navigational behaviors such as `go down the hallway' or `follow the junction to the left'. They present the neural network component of the vision-guided mobile robot navigation system called NEURO-NAV and deal with how visual information is processed and how neural networks are used to perform primitive navigational tasks. Experimental results of neural classification and vision-guided navigation are included

Published in:

Systems, Man and Cybernetics, 1992., IEEE International Conference on

Date of Conference:

18-21 Oct 1992