AI-Based Assistant: LLMs for Effective Robotics Education and Research

Large language models (LLMs) offer new educational and research opportunities by enabling personalized learning, providing tutoring and assistance and enhancing accessibility. This paper examines the current application solutions of LLMs in education and their usability, benefits, and challenges. Through our use case and experimental data on Turtlebot3 education robots, we discuss the potential of different transformer-based LLMs and their limitations to improve educational and research outcomes for students working with robotic systems in laboratory conditions. We also evaluated selected models based on quantitative and qualitative metrics to choose one which was best suited for our AI-based education and research assistant use case.