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International Journal of Soft Computing
Year: 2007 | Volume: 2 | Issue: 5 | Page No.: 633-637
Neuro-Fuzzy Based Adaptive Navigation for Truck like Mobile Robot
K. Sudhagar , A. Noorul Haq and T. Selvaraj
 
Abstract: An important problem that faces manufacturers in the industry is how automatically backs up a truck like mobile robot to a specified point on a loading dock while loading or unloading. An intelligent approach is desirable for automatically backing up truck. In this study, ANFIS technique is used for obtain the control architecture to control the backward movement of a mobile robot with back propagation learning algorithm. The procedure using neuro fuzzy hybrid logic is described. The truck is trained with three inputs, five-layer neural network and 125 fuzzy rules sets. The controller is able to guide the truck to the dock from almost any initial position in the loading zone.
 
How to cite this article:
K. Sudhagar , A. Noorul Haq and T. Selvaraj , 2007. Neuro-Fuzzy Based Adaptive Navigation for Truck like Mobile Robot . International Journal of Soft Computing, 2: 633-637.
URL: http://medwelljournals.com/abstract/?doi=ijscomp.2007.633.637