Citation

Park JW, Kwak HJ, Kang YC, Kim DW. Comput. Intell. Neurosci. 2016; 2016: 6047906.

Affiliation

Department of Digital Electronics, Inha Technical College, 100 Inha-ro, Nam-gu, Incheon 402-752, Republic of Korea.

Copyright

(Copyright © 2016, Hindawi Publishing)

DOI

10.1155/2016/6047906

PMID

27123001

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.

Language: en