Hsu Chih Huang

China University of Science and Technology, National Ilan University

Papers

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About

Hsu Chih Huang is a researcher specializing in intelligent control systems, mobile robotics, and bio-inspired computational algorithms. His work sits at the intersection of advanced control theory and autonomous robotic navigation, contributing methodologies that enhance the precision and adaptability of robotic systems in complex environments. Among his notable contributions is the development of an Adaptive Fuzzy Cerebellar Model Articulation Controller (AFCMAC) for omni-directional mobile robots, published in 2014. This work innovatively combines fuzzy logic with CMAC neural architectures, incorporating triangular basis functions within hypercube receptive fields to effectively solve challenging tracking control problems — a contribution that has garnered 8 citations within the community. Huang has also advanced the field of autonomous robot navigation through his metaheuristic Artificial Immune System (AIS) algorithm, which generates optimal, collision-free paths in obstacle-rich structured environments. By leveraging bio-inspired computing principles, this approach addresses real-world navigation constraints with measurable efficiency gains, earning 4 citations. Collectively, Huang's research demonstrates a consistent focus on merging soft computing techniques with robotics, offering practical, intelligent solutions that push the boundaries of autonomous system performance and laying groundwork for future advancements in adaptive robotic control.