Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance
Joint Authors
Kim, Dong W.
Park, Jong-Wook
Kwak, Hwan-Joo
Kang, Young-Chang
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Park, Jong-Wook& Kwak, Hwan-Joo& Kang, Young-Chang& Kim, Dong W.. 2016. Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099717
Modern Language Association (MLA)
Park, Jong-Wook…[et al.]. Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1099717
American Medical Association (AMA)
Park, Jong-Wook& Kwak, Hwan-Joo& Kang, Young-Chang& Kim, Dong W.. Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099717
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099717