Ho Sup Yoon
Papers
1
Total Citations
2
H-Index
1
About
Ho Sup Yoon is a distinguished researcher whose work sits at the intersection of robotics, auditory perception, and intelligent systems. His primary research areas include sound source localization (SSL), human-robot interaction, and the development of advanced sensorimotor algorithms for autonomous platforms. Yoon made a significant early contribution with his seminal 2007 paper on the performance analysis of GCC-PHAT-based sound source localization for intelligent robots. This work systematically evaluated the Generalized Cross-Correlation with Phase Transform (GCC-PHAT) method, a cornerstone technique for estimating time differences of arrival (TDOA) in noisy environments. By introducing a novel angle measurement approach integrated with a robot auditory system, he provided a robust framework for enabling network-based service robots to accurately perceive their acoustic surroundings. His research has garnered attention, with his most-cited paper accumulating over 2 citations, reflecting its foundational role in the field. Yoon’s contributions have helped bridge the gap between theoretical signal processing and practical robotic audition, laying essential groundwork for future innovations in autonomous navigation and context-aware human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1