Guoxiong Wu

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Guoxiong Wu is a robotics researcher whose work centers on the locomotion and control of legged robots, with a particular focus on quadrupedal systems. His primary contributions lie in optimizing gait dynamics to enhance stability and efficiency, especially through the precise modulation of swing foot trajectories. In his most-cited paper, "Gait Phase Optimization of Swing Foot for a Quadruped Robot" (2019), Wu introduced a method to refine foot placement during the swing phase, addressing critical challenges in balance and terrain adaptability. While his citation count is modest, this work represents a foundational step in improving real-time gait adjustment for quadruped robots operating in uneven environments. Wu’s research bridges theoretical kinematics and practical robotic implementation, offering insights that are valuable for students and engineers working on bio-inspired robotics. His approach emphasizes the importance of phase-based optimization, a technique that can reduce energy consumption and increase locomotion robustness. As the field of legged robotics advances, Wu’s contributions provide a building block for more adaptive and resilient robotic systems.