Guo-chen YU

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About

Guo-chen Yu is a researcher specializing in bipedal locomotion and humanoid robotics, with a focus on gait planning and dynamic stability. His major contributions center on simplifying complex walking motions through the application of the 3D linear inverted pendulum model (3D-LIPM), a foundational approach for controlling the Center of Mass (CoM) relative to the Zero Moment Point (ZMP). Yu’s work provides a systematic method for planning stable, efficient gaits by predefining ZMP trajectories and deriving corresponding CoM paths, enabling biped robots to walk more naturally and robustly. His most cited paper, “Biped Robot Gait Planning Based on 3D Linear Inverted Pendulum Model” (2018), has garnered 8 citations, reflecting its practical utility in robotics research. An earlier study from 2013 further refined these concepts for humanoid platforms. Yu’s contributions are notable for bridging theoretical models with real-world implementation, offering a clear, mathematically grounded framework that continues to influence gait optimization in legged robots. His work is essential reading for students and researchers exploring locomotion control, balance, and motion planning in humanoid systems.