Kangsan Lee
Papers
1
Total Citations
3
H-Index
1
About
Kangsan Lee is a pioneering researcher at the intersection of robotics, music, and human-robot interaction, with a primary focus on enabling expressive, autonomous musical performance in machines. His most cited work, "Parameterizing Method of Music Notation for Motion Timing and Control in a Piano-Playing Robot" (2024), addresses a critical gap in robotic musicianship: translating the nuanced timing and phrasing of sheet music into precise, robot-executable motion commands. By developing a parameterization framework that defines action initiation from the robot’s perspective, Lee’s research moves beyond simple key-press timing to capture the expressive intent embedded in musical notation. This contribution is foundational for creating robots that can perform with musicality, not just mechanical accuracy. While his citation count is still growing, his work has already garnered attention for its novel approach to bridging symbolic music representation and physical control. Lee’s research holds significant promise for applications in entertainment, education, and assistive technology, where robots must interact with humans through culturally rich, time-sensitive actions. His ongoing work continues to push the boundaries of what robots can achieve in artistic domains.
Research Focus
Key Achievements
Top Papers
- 1