Papers
22
Total Citations
483
H-Index
8
About
Jaeyeon Lee is a versatile robotics and human-robot interaction researcher whose work spans gesture generation, surgical robotics, microrobotics, and autonomous navigation. Perhaps most recognized for pioneering contributions to co-speech gesture synthesis, Lee's 2020 paper "Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity" has garnered over 300 citations, establishing a landmark framework for enabling virtual avatars and social robots to produce naturalistic, context-aware gestures. This work, complemented by earlier end-to-end learning approaches for humanoid robot gesture generation, reflects a sustained commitment to making human-agent interaction feel genuinely alive and intuitive. Beyond social robotics, Lee has made meaningful contributions to medical and surgical robotics, including real-time haptic teleoperation of magnetic microrobots for biomedical applications and kinematic modeling of wire-driven surgical arms for single-port procedures. Earlier work explored multi-robot task allocation for hospital logistics, probabilistic path planning using fuzzy logic, and vision-based user authentication in robot environments, demonstrating impressive breadth across the field. With a career spanning foundational questions in robot emotion modeling to cutting-edge gesture AI, Lee's research consistently bridges human experience with robotic capability, making their profile essential reading for students navigating the intersection of embodied AI and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Multi-robot multi-task allocation for hospital logistics11 citations · 2016
- 7Design and Path Planning for a Spherical Rolling Robot10 citations · 2013
- 8
- 9A probability-based path planning method using fuzzy logic8 citations · 2014
- 10