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Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance.

Authors :
Park, Jong-Wook
Kwak, Hwan-Joo
Kang, Young-Chang
Kim, Dong W.
Source :
Computational Intelligence & Neuroscience; 3/30/2016, p1-13, 13p
Publication Year :
2016

Abstract

An advanced fuzzy potential field method for mobile robot obstacle avoidance is proposed. The potential field method primarily deals with the repulsive forces surrounding obstacles, while fuzzy control logic focuses on fuzzy rules that handle linguistic variables and describe the knowledge of experts. The design of a fuzzy controller—advanced fuzzy potential field method (AFPFM)—that models and enhances the conventional potential field method is proposed and discussed. This study also examines the rule-explosion problem of conventional fuzzy logic and assesses the performance of our proposed AFPFM through simulations carried out using a mobile robot. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16875265
Database :
Complementary Index
Journal :
Computational Intelligence & Neuroscience
Publication Type :
Academic Journal
Accession number :
114108107
Full Text :
https://doi.org/10.1155/2016/6047906