A Mobile Robot Path Tracking Method Based on Fuzzy Logic and Artificial Emotion

Shao Yong Li

doi:10.4028/www.scientific.net/AMM.615.103

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 615A Mobile Robot Path Tracking Method Based on Fuzzy...

A Mobile Robot Path Tracking Method Based on Fuzzy Logic and Artificial Emotion

Abstract:

Design a subsection fuzzy controller for autonomous mobile robots based on location sensors. First section the controller produced some fuzzy output and part of the output was used for setting up an emotion factor called E. In the second section, E has an effect on the controller, and the mobile robot can move more like a car being driven by human. As the fuzzy controller is down to subsections, each of the section has a simpler fuzzy rule table. The simulation experiment data showed that this kind of control method for path tracking could fit the path better with short response time and strong robustness. It was more flexible and effective on processing different corners during tracking compared to conventional fuzzy control method.

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Periodical:

Applied Mechanics and Materials (Volume 615)

Pages:

103-106

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.615.103

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Online since:

August 2014

Authors:

Shao Yong Li*

Keywords:

Artificial Emotions, Artificial Intelligence (AI), Fuzzy Logic, Path Tracking

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* - Corresponding Author

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