A neuro-fuzzy controller for mobile robot navigation and multirobot convoying

1998 ◽  
Vol 28 (6) ◽  
pp. 829-840 ◽  
Author(s):  
K.C. Ng ◽  
M.M. Trivedi
Keyword(s):  
Mobile Robot ◽  
Fuzzy Controller ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Neuro Fuzzy

Behavior-based neuro-fuzzy controller for mobile robot navigation

2003 ◽  
Vol 52 (4) ◽  
pp. 1335-1340 ◽  
Author(s):  
P. Rusu ◽  
E.M. Petriu ◽  
T.E. Whalen ◽  
A. Cornell ◽  
H.J.W. Spoelder
Keyword(s):  
Mobile Robot ◽  
Fuzzy Controller ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Neuro Fuzzy ◽  
Behavior Based

Designing the Fuzzy Controller in Mobile Robot Navigation with the Presence of Unknown Obstacles

2012 ◽  
Vol 3 (1) ◽  
pp. 45-62
Author(s):  
Maryam Refaee ◽  
Mohammad Hossein Kazemi ◽  
MohammadAli Nekoui ◽  
S. Amir Ghoreishi
Keyword(s):  
Mobile Robot ◽  
Fuzzy Controller ◽  
Robot Navigation ◽  
Mobile Robot Navigation

KSU-IMR Mobile Robot Navigation Maps Building and Learning

2015 ◽  
Vol 789-790 ◽  
pp. 717-722
Author(s):  
Ebrahim Mattar ◽  
K. Al Mutib ◽  
M. AlSulaiman ◽  
Hedjar Ramdane
Keyword(s):  
Mobile Robot ◽  
Dimensionality Reduction ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Research Outcomes ◽  
Neuro Fuzzy ◽  
Robot Behavior ◽  
Behavior Learning ◽  
Mobile Maps

It is essential to learn a robot navigation environment. We describe research outcomes for KSU-IMR mapping and intelligence. This is for navigating and robot behavior learning. The mobile maps learning and intelligence was based on hybrid paradigms and AI functionaries. Intelligence was based on ANN-PCA for dimensionality reduction, and Neuro-Fuzzy architecture.

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