Application of Fuzzy Logic in Learning Autonomous Robots Systems

  • María Laura González
  • Jorge Salvador Ierache
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 208)


Autonomous Robots Systems (ARS) can learn by establishing plans, executing them in a given environment and analyzing the results of the execution. The logic used among this process is usually the classic logic, which most of the times ends up being too restrictive and not consistent with the world the ARS is facing. This paper proposes the application of fuzzy logic to address this issue and improve the ARS learning curve considerably.


Robots Fuzzy Logic Machine Learning Autonomous Systems 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • María Laura González
    • 1
  • Jorge Salvador Ierache
    • 1
    • 2
  1. 1.Information Advance Systems Laboratory, Engineering SchoolUniversity of Buenos Aires, Universidad de MorónMorónArgentina
  2. 2.Institute of Intelligent Systems and Robotics Experimental TeachingFICCTE, UM Universidad de MorónMorónArgentina

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