Chia‐Hsiang Yao

Papers

Total Citations

H-Index

About

Chia-Hsiang Yao is a robotics researcher whose work centers on human-robot interaction, computer vision, and autonomous mobile systems. His research focuses on enabling mobile robots to reliably detect, recognize, and follow specific individuals across diverse environments — a foundational capability for service and assistive robotics applications. Yao's most notable contribution is his development of robust real-time human-following algorithms that leverage stereo and binocular camera systems. By combining depth perception with advanced detection techniques, his trackers demonstrate reliable performance in both indoor and outdoor settings, addressing one of the persistent challenges in mobile robotics: maintaining accurate target identification amid changing environmental conditions. His 2021 paper on this subject has garnered 24 citations, reflecting growing interest in the field, while an earlier 2018 conference on the same theme established the foundational groundwork for this line of inquiry. His progression from the 2018 to the 2021 work illustrates a deliberate research trajectory — refining and strengthening algorithmic robustness over time. For students and researchers exploring human-aware robotics, autonomous tracking systems, or vision-based navigation, Yao's contributions offer practical, well-validated approaches to real-world deployment of intelligent mobile platforms.