Yueh-Yang Hu

Papers

Total Citations

H-Index

About

Yueh-Yang Hu is a robotics researcher specializing in humanoid robot design, bipedal locomotion, and vision-based control systems. His work focuses on creating compact, efficient humanoid platforms and developing hardware-optimized algorithms for real-time motion generation. Hu’s most significant contribution is a CORDIC-based FPGA hardware design method for biped walking gait generation, which uses simple oscillator-based models and sinusoidal functions to produce stable, energy-efficient walking patterns directly in hardware. This approach reduces computational overhead and enables real-time gait control in small-scale humanoid robots. He also developed a fuzzy logic-based strength control system for basketball throwing in vision-guided humanoid robots, integrating visual feedback with adaptive motor control. His early work on small-size humanoid soccer robot design contributed to the FIRA HuroSot competition platforms. Though his citation counts are modest (3 citations each for his top papers), Hu’s contributions are notable for their practical, hardware-focused approach to humanoid robotics—bridging the gap between theoretical locomotion models and embedded system implementation. His work remains relevant for researchers developing low-cost, computationally efficient humanoid robots for education and competition.