Fei Yuan

Beijing University of Civil Engineering and Architecture

Papers

Total Citations

H-Index

About

Fei Yuan is a researcher whose work spans two distinct but forward-looking domains: mixed analog-digital signal processing and humanoid robotics. In the area of signal processing, Yuan's 2013 paper on the time-mode approach for mixed analog-digital signal processing explores innovative methodologies relevant to industrial motor control systems, particularly addressing commutation torque ripple in Brushless DC Motors (BLDCM) — a persistent challenge in high-precision applications such as CNC machinery, aerospace systems, and robotics. This work has garnered 6 citations, reflecting its contribution to a specialized yet critically important engineering domain. Yuan's robotics research, exemplified by a 2019 study on target location and gait planning for humanoid robots climbing stairs, tackles one of the more complex locomotion challenges in autonomous systems. By developing methods that enable robots to accurately perceive and navigate stair environments, Yuan contributes meaningfully to the advancement of practical humanoid robot deployment. Though early in citation impact with 2 citations, this work addresses a foundational capability for real-world robotic autonomy. Together, Yuan's research reflects a commitment to solving tangible engineering problems at the intersection of intelligent systems and precision control.