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Methods and Algorithms for Fuzzy Cognitive Map-based Modeling Read chapter Read first chapter

2014 | OriginalPaper | Chapter

15. Use and Perspectives of Fuzzy Cognitive Maps in Robotics

Authors : Ján Vaščák, Napoleon H. Reyes

Published in: Fuzzy Cognitive Maps for Applied Sciences and Engineering

Publisher: Springer Berlin Heidelberg

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Abstract

Fuzzy Cognitive Maps (FCM) started in the last decade to penetrate to areas as decision-making and control systems including robotics, which is characterized by its distributiveness, need for parallelism and heterogeneity of used means. This chapter deals with specification of needs for a robot control system and divides defined tasks into three basic decision levels dependent on their specification of use as well as applied means. Concretely, examples of several FCMs applications from the low and middle decision levels are described, mainly in the area of navigation, movement stabilization, action selection and path cost evaluation. Finally, some outlooks for future development of FCMs are outlined.

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previous chapter Using Fuzzy Grey Cognitive Maps for Industrial Processes Control
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Appendix
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Metadata
Title
Use and Perspectives of Fuzzy Cognitive Maps in Robotics
Authors
Ján Vaščák
Napoleon H. Reyes
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Fuzzy Cognitive Maps for Applied Sciences and Engineering

Print ISBN: 978-3-642-39738-7

Electronic ISBN: 978-3-642-39739-4

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-39739-4_15

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