Empowering Users in Human-Robot Interaction through End-User Development and Large Language Models

This paper presents a PhD research project aimed at enhancing Human-Robot Interaction (HRI) by empowering non-technical users in both the definition and execution of robot tasks. The project addresses two main objectives: (i) enabling end users, such as domain experts without programming skills, to define, validate, and modify robot tasks through End-User Development (EUD) enhanced by Large Language Models (LLMs); and (ii) improving
robot adaptability during collaborative task execution by integrating human cognitive factors (e.g., beliefs, desires, and intentions) into robot decision-making. The findings aim to contribute to the ongoing shift toward more adaptable and human-aware robotic systems.