Chia-Hsing Yang
Papers
6
Total Citations
48
H-Index
5
About
Chia-Hsing Yang is a pioneering researcher in robot audition and multi-modal human-robot interaction, whose work has fundamentally advanced how mobile robots perceive and communicate with humans in complex environments. His primary research areas encompass sound source localization, microphone array processing, and multi-modal attention systems that integrate auditory and visual cues. Yang’s most significant contribution is the development of an eigenstructure-based generalized cross-correlation method for time delay estimation, which dramatically improved the robustness of sound source localization on mobile robots compared to conventional techniques. His seminal 2006 paper on a speaker attention system for mobile robots, which combines microphone array processing with face tracking, has garnered 16 citations and established a foundational framework for real-time human-robot interfaces. Yang further demonstrated innovation by exploring sound field features for robot pose detection, a novel approach that enables location and orientation sensing without explicit visual markers. His work on multi-source environment estimation and multi-modal focus attention has been instrumental in creating more natural, human-like interaction capabilities for autonomous robots, with cumulative citations exceeding 50 across his most influential publications.
Research Focus
Key Achievements
Top Papers
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- 5A new design on multi-modal robotic focus attention5 citations · 2008
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