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About

Shao-Hsien Liu is a pioneering researcher in humanoid robotics, with a primary focus on dynamic balance control, sensor fusion, and autonomous decision-making for bipedal robots. His most influential work, "Dynamic Balance Control for Biped Robot Walking Using Sensor Fusion, Kalman Filter, and Fuzzy Logic" (2011), has garnered 87 citations and introduced a novel Zero Moment Point (ZMP) trajectory model that significantly improved walking stability—a fundamental challenge in biped locomotion. Liu’s contributions extend to integrating omni-directional vision and FPGA-based systems for real-time control, demonstrated in his work on humanoid soccer robots and penalty kick functions. His research on SOPC-based weight lifting control further showcases his expertise in self-balancing mechanisms for small-sized humanoids. By combining advanced filtering techniques, fuzzy logic, and hardware-software co-design, Liu has advanced the practical deployment of humanoid robots in dynamic environments. His work remains a valuable reference for researchers in robotics, control systems, and artificial intelligence, offering foundational insights into stable, autonomous robot operation.