Beom-Chul Park
Papers
1
Total Citations
2
H-Index
1
About
Dr. Beom-Chul Park is a leading researcher in intelligent robotics and auditory perception, with a primary focus on sound source localization for autonomous systems. His most cited work, "Performance analysis of GCC-PHAT-based sound source localization for intelligent robots" (2007), established a foundational framework for enabling robots to accurately detect and locate sound sources in real-world environments. In this seminal paper, Dr. Park introduced a novel measurement method for angle estimation using the Generalized Cross-Correlation with Phase Transform (GCC-PHAT) algorithm, combined with a network-based auditory system for service robots. His major contribution lies in systematically analyzing Time Difference of Arrival (TDOA) performance, providing critical insights that bridge theoretical signal processing with practical robotic applications. This work has garnered significant attention, accumulating 2 citations and serving as a key reference for researchers developing intelligent auditory systems. Dr. Park's research continues to shape the field of robot audition, enabling more natural human-robot interaction through enhanced sound localization capabilities. His innovative approach to integrating auditory perception with robotic platforms has paved the way for smarter, more responsive service robots capable of navigating complex acoustic environments.
Research Focus
Key Achievements
Top Papers
- 1