By Topic

Application of Fuzzy Neural Network in Parameter Optimization of Mobile Robot Path Planning Using Potential Field

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Zhenwen Su ; Faculty of Computer, Guangdong University of Technology, Guangzhou, China. Email: zqkevinso@gmail.com, z9215@163.com ; Bi Zeng ; Guangchang Liu ; Feng Ye
more authors

This paper discussed a new mobile robot path planning algorithm. It analyzed the traditional path planning algorithm that employs artificial potential field and fuzzy logic, and then develop a new method combing artificial potential field, neural network and fuzzy Logic, which realized real-time obstacle recognition and smooth motion in dynamic environment. This algorithm improves the traditional artificial potential field performance, while reducing its drawbacks' influence effectively. Experiment and simulation shows this method can make the robot avoid obstacles effectively and avoid being trapped in "dead area".

Published in:

2007 IEEE International Symposium on Industrial Electronics

Date of Conference:

4-7 June 2007