Jeonghyun Lee

Korea Advanced Institute of Science and Technology, Georgia Institute of Technology

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About

Jeonghyun Lee is a pioneering roboticist whose work bridges reinforcement learning, biomechanics, and human-robot interaction. Her research centers on two transformative areas: developing robust locomotion controllers for legged robots and creating co-playable robotic instruments that augment human skill acquisition. In her landmark 2024 study (58 citations), Lee demonstrated that integrating both rewards and physical constraints into neural network-based controllers yields legged robots with unprecedented natural motion and task performance—a breakthrough that challenges the field’s exclusive focus on reward-driven training. Her earlier work on robotic instruments (2021) introduced automation as a scaffold for learning complex motor skills like polyrhythm, revealing how machines can serve not as replacements but as collaborative partners in human mastery. By reframing control as a balance between freedom and constraint, Lee’s contributions have reshaped how researchers design adaptive, physically-grounded AI systems. Her work has been recognized for its interdisciplinary impact, merging robotics, cognitive science, and music education. For students and researchers, Lee’s research offers a compelling vision: robots that move with elegance and teach with patience, expanding what both humans and machines can achieve together.