[Research Contribution] Emotional Intelligence for Robots: When Vietnamese Robots Can "Sense" and "Express" Emotions Like Humans

In the context of social robots being increasingly applied in education, healthcare, and services, the ability to communicate emotionally is becoming a decisive factor in building trust between humans and machines. Research by a team of authors from the University of Economics Ho Chi Minh City (UEH) has proposed a model combining Fuzzy C-Means (FCM), a Fuzzy Inference System (FIS), and Vietnamese anthropometric data to help robots recognize, interpret, and express emotions more naturally. The research results show that the system achieves up to 96% accuracy in identifying emotional states and 97% accuracy in controlling robot facial expressions, opening up prospects for developing generations of social robots with a distinct Vietnamese character