Dae-Hee Han
Papers
1
Total Citations
3
H-Index
1
About
Dae-Hee Han 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 notable contribution is the development of a novel parameterization method for translating music notation into precise motion timing and control variables for piano-playing robots. This work, published in 2024 and already garnering 3 citations, addresses a critical gap in the field: while prior studies have modeled key-press timing and duration, Han’s research uniquely defines the initiation of robotic actions from the robot’s own perspective, bridging the gap between musical intent and mechanical execution. His approach allows robots to interpret sheet music not just as a sequence of notes, but as a dynamic score for coordinated physical movement, enabling more natural, human-like phrasing and expression. By tackling the fundamental challenge of how a robot “decides” when to begin a motion, Han’s work has significant implications for the future of robotic musicianship, prosthetics, and any domain requiring precise, context-aware timing in automated systems. His research stands out for its elegant fusion of music theory, control engineering, and cognitive robotics.
Research Focus
Key Achievements
Top Papers
- 1