The IRIS project presents the design and development of an emotionally intelligent social robotic assistant that integrates advanced artificial intelligence and robotics to enhance human–machine interaction. While initially designed to support senior citizens and children with autism spectrum disorder (ASD), the system also demonstrates strong potential for educational environments, particularly in universities where intelligent technologies are increasingly shaping teaching, learning, and student support services.
IRIS combines multiple AI-driven capabilities including speech-to-text, chatbot-based conversation, sentiment analysis, and text-to-speech, alongside facial expression outputs and real-time information updates. Built on a robust ROS-based architecture, the robot uses SLAM, localization, and path planning to enable autonomous navigation and mobility. Its emotion recognition system and dynamic LED interface allow it to respond in a human-like and empathetic manner, creating more natural interactions.
Experimental trials confirmed IRIS’s ability to navigate environments, interpret emotional cues, and respond appropriately during user interaction. In a university setting, such systems can enhance inclusive learning, provide interactive academic support, and contribute to student wellbeing through adaptive, emotionally aware engagement.
