eprintid: 1961
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/19/61
datestamp: 2023-11-09 15:50:08
lastmod: 2023-11-09 15:50:08
status_changed: 2023-11-09 15:41:43
type: conference_item
metadata_visibility: show
creators_name: Khan, M.K.A.A.
creators_name: Rashid, R.
creators_name: Elamvazuthi, I.
title: Mamdani fuzzy system for indoor autonomous mobile robot
ispublished: pub
note: cited By 1; Conference of 4th Global Conference on Power Control and Optimization ; Conference Date: 2 December 2010 Through 4 December 2010
abstract: 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.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051576072&doi=10.1063%2f1.3592449&partnerID=40&md5=b56d33538d8446dfd499dfc1116fe70b
id_number: 10.1063/1.3592449
full_text_status: none
publication: AIP Conference Proceedings
volume: 1337
place_of_pub: Sarawak
pagerange: 103-107
refereed: TRUE
isbn: 9780735408937
issn: 0094243X
citation:   Khan, M.K.A.A. and Rashid, R. and Elamvazuthi, I.  (2011) Mamdani fuzzy system for indoor autonomous mobile robot.  In: UNSPECIFIED.