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

Biology

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