TY  - CONF
A1  - Khan, M.K.A.A.
A1  - Rashid, R.
A1  - Elamvazuthi, I.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051576072&doi=10.1063%2f1.3592449&partnerID=40&md5=b56d33538d8446dfd499dfc1116fe70b
EP  - 107
VL  - 1337
Y1  - 2011///
SN  - 0094243X
N2  - Several control algorithms for autonomous mobile robot navigation have been proposed in the literature. Recently, the employment of non-analytical methods of computing such as fuzzy logic, evolutionary computation, and neural networks has demonstrated the utility and potential of these paradigms for intelligent control of mobile robot navigation. In this paper, Mamdani fuzzy system for an autonomous mobile robot is developed. The paper begins with the discussion on the conventional controller and then followed by the description of fuzzy logic controller in detail. © 2011 American Institute of Physics.
N1  - cited By 1; Conference of 4th Global Conference on Power Control and Optimization ; Conference Date: 2 December 2010 Through 4 December 2010
ID  - scholars1961
TI  - Mamdani fuzzy system for indoor autonomous mobile robot
SP  - 103
CY  - Sarawak
AV  - none
ER  -