Papers
10
Total Citations
115
H-Index
6
About
Chih-Hsien Hsia is a multidisciplinary researcher whose work bridges robotics, computer vision, and technology-enhanced education. His early contributions focused on autonomous humanoid robot systems, particularly in the context of RoboCup soccer competitions, where he developed innovative stereo vision-based self-localization systems (SVBSLS) that enabled robots to navigate dynamic, unpredictable environments by integrating pan/tilt motor data with real-time visual processing. Complementing this, his object recognition research introduced adaptive resolution methods that significantly advanced humanoid robot vision capabilities. His most-cited work (30 citations) refined these localization techniques into a robust framework applicable to competitive robotics. In more recent years, Hsia has expanded his scope toward educational technology and smart systems, examining how LEGO robotics and problem-based learning models — including the ARCS motivational framework — can cultivate computational thinking and programming attitudes among students in Taiwan, with two papers each garnering 15–21 citations. His 2022 work on the Internet of Robotic Things (IoRT) further demonstrates his evolving interest in applying robotics to long-term care within smart building environments. Across his career, Hsia's research reflects a consistent commitment to making intelligent robotic systems both technically sophisticated and socially meaningful.
Research Focus
Key Achievements
Top Papers
- 1A Stereo Vision-Based Self-Localization System30 citations · 2013
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- 6An efficient object recognition system for humanoid robot vision7 citations · 2009
- 7Stereo vision-based self-localization system for RoboCup6 citations · 2011
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- 9Self-Localization Based on Monocular Vision for Humanoid Robot5 citations · 2011
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