Cheol-Taek Kim
Papers
1
Total Citations
11
H-Index
1
About
Cheol-Taek Kim is a researcher whose work bridges robotics and acoustic signal processing, with a particular focus on enhancing human-robot interaction through auditory perception. His key research areas include sound source localization, robust estimation techniques, and mobile robot interfaces. Kim’s major contribution lies in developing methods that allow robots to accurately estimate sound direction in dynamic, real-world environments—a critical capability for responsive and intuitive robot behavior. His most cited work, “Robust estimation of sound direction for robot interface” (2008, 11 citations), introduces a novel approach that estimates sound direction at short intervals using a discrete Kalman filter, effectively countering performance degradation caused by movement of either the sound source or the robot itself. This work addresses a fundamental challenge in auditory robotics, enabling more reliable interaction in noisy or changing conditions. While his citation count reflects a focused, specialized impact, Kim’s contributions are notable for their practical relevance to autonomous systems and human-robot communication, laying groundwork for more adaptive and perceptive robotic interfaces.
Research Focus
Key Achievements
Top Papers
- 1Robust estimation of sound direction for robot interface11 citations · 2008