TY  - JOUR
T1  - Neuro-Fuzzy Based Adaptive Navigation for Truck like Mobile Robot
AU - , K. Sudhagar AU - , A. Noorul Haq AU - , T. Selvaraj 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 5
SP  - 633
EP  - 637
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.633.637
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.633.637
KW  - Neuro fuzzy
KW  -autonomous navigation
KW  -mobile robot
KW  -ANFIS
AB  - 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.
ER  -