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COJ Robotics & Artificial Intelligence

Modeling the Body Movements and Feelings of Humanoid Robots Using Fuzzy Logic

Submission: October 01, 2020;Published: February 08, 2021


Robots having a body shape similar to the human body and resembling the human behaviors are called humanoid robots (HRs). They are assumed to improve the quality of human life in the future by performing human tasks such as assisting the sick and elderly people and doing dirty or dangerous jobs. They should perfectly resemble humans’ movements and feelings such as smiling, laughing, crying, getting surprised, getting sad, getting disgusted, or getting angry, if we really want to call them humanoid robots. Human feelings cannot be represented by 0-1 logic since an emotion can arise as different consequences of an infinite number of situations. Fuzzy logic is an infinite valued logic whose continuous values are between 0-1 and can be modeled by the fuzzy set theory introduced by Zadeh [1]. This paper provides ideas on how fuzzy set theory can be used to express human behavior and emotions in humanoid robots.

Keywords: Humanoid robot; Human feelings; Fuzzy logic; Fuzzy set theory; Intuitionistic fuzzy sets; Spherical fuzzy sets

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