Changhyeon Lee

Seoul National University, Pohang University of Science and Technology

Papers

Total Citations

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About

Changhyeon Lee is a researcher whose work bridges human-robot interaction and advanced machine learning, with a focus on creating emotionally resonant robotic systems and improving autonomous control. His early research explores the novel concept of physically growing robot toys for infants and children, aiming to foster long-term companionship and emotional development. In papers such as "Introduction of an Interactive Growing Robot/Toy for Babies" (2017) and "Communication with Self-Growing Character to Develop Physically Growing Robot Toy Agent" (2020), Lee investigates how robots that evolve in form and behavior can simulate a living friend, encouraging children to engage in empathetic interactions and emotional expression. These contributions, though early in their citation impact, address fundamental questions in social robotics and child development. More recently, Lee has expanded into reinforcement learning for aerial robotics, developing a transformer-based dynamics model for sim-to-real control of quadrotors with limited experimental data (2025). This work demonstrates his versatility in applying state-of-the-art AI to real-world robotic challenges. With a growing portfolio that spans developmental robotics and control theory, Lee is establishing himself as a researcher who combines technical rigor with a deep understanding of human-centered design.