Shih‐Chang Hsia

University of California, Davis, National Yunlin University of Science and Technology

Papers

Total Citations

H-Index

About

Shih‐Chang Hsia is a pioneering researcher in robotics and intelligent systems, with a focus on Internet-based control, multi-sensor navigation, and deep learning applications. His most cited work, "Internet control of personal robot between KAIST and UC Davis" (2002, 22 citations), introduced a groundbreaking system for remote robot operation across continents, demonstrating three control modes that enabled real-time interaction between Korea and the United States—a foundational contribution to telepresence robotics. Hsia further advanced autonomous navigation through "Intelligent Surrounding Recognition for Robot Direction Control" (2020, 7 citations), integrating laser range finders, cameras, and Zigbee modules for robust environmental perception and remote monitoring. His recent innovation, "A Smart Leaf Blow Robot Based on Deep Learning Model" (2023, 6 citations), applies convolutional neural networks to automate leaf clearing, showcasing the practical deployment of AI in service robotics. Additionally, his work on "Robot Localization Using Zigbee Nodes" (2019) addresses low-cost positioning solutions. With a career spanning over two decades, Hsia’s research bridges theoretical robotics with real-world utility, earning recognition for its impact on remote control systems and intelligent navigation.