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International Journal of Soft Computing

ISSN: Online
ISSN: Print 1816-9503
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Neuro-Fuzzy Based Adaptive Navigation for Truck like Mobile Robot

K. Sudhagar , A. Noorul Haq and T. Selvaraj
Page: 633-637 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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 . Neuro-Fuzzy Based Adaptive Navigation for Truck like Mobile Robot.
DOI: https://doi.org/10.36478/ijscomp.2007.633.637
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2007.633.637