MODELING HUMANOID ROBOT MOUTH EXPRESSIONS REFLECTING EMOTIONAL STATES VIA ELLIPTIC INTUITIONISTIC FUZZY SETS

This paper introduces a novel approach to modeling humanoid robot mouth expressions using Elliptic Intuitionistic Fuzzy Sets (E-IFS).The E-IFS model employs elliptic intuitionistic fuzzy logic to capture the complexity of human emotions, enabling robots to express nuanced emotional states through mouth movements.By effectively handling uncertainties and emotional intensity variations, the model offers a flexible and adaptive alternative to traditional techniques.Results demonstrate the model's capability to generate realistic, contextually appropriate expressions, enhancing human-robot interaction.These findings highlight its potential for making robots more emotionally expressive.Future research will focus on expanding the model for multi-modal emotional expression and assessing its impact on user perception.