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Use and Perspectives of Fuzzy Cognitive Maps in Robotics

  • Ján VaščákEmail author
  • Napoleon H. Reyes
Chapter
First Online:
Part of the Intelligent Systems Reference Library book series (ISRL, volume 54)

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.

Keywords

Membership Function Path Planning Soccer Player Legged Robot High Decision Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

Research supported by the National Research and Development Project Grant 1/0667/12 “Incremental Learning Methods for Intelligent Systems” 2012–2015 and by the “Center of Competence of knowledge technologies for product system innovation in industry and service” with ITMS project number: 26220220155 for years 20012–2015.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Center for Intelligent TechnologiesTechnical University of KošiceKošiceSlovakia
  2. 2.Institute of Natural and Mathematical SciencesMassey UniversityAucklandNew Zealand

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