Yuxiao Zhang

University of Electronic Science and Technology of China, Zhengzhou University of Light Industry

Papers

Total Citations

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About

Yuxiao Zhang’s research bridges robotics, autonomous navigation, and distributed control systems, with a focus on enabling robots to operate reliably in complex, real-world environments. His most cited work, “Road segmentation for all-day outdoor robot navigation” (2018, 59 citations), addresses a critical challenge in field robotics: robust visual perception under varying lighting conditions. By developing segmentation algorithms that perform consistently from dawn to dusk, Zhang has contributed to safer and more adaptive autonomous navigation for outdoor robots. Earlier, in “Distributed Control System Design for Quadruped Robot Based on CANopen Network” (2010), he designed a modular, networked control architecture using CANopen protocols, integrating controllers and encoders for closed-loop speed control. This work laid groundwork for scalable, real-time coordination in legged robots. Though his citation counts are still growing, Zhang’s contributions are notable for their practical engineering focus—solving real-world constraints like lighting variability and distributed communication. His research is particularly relevant for students and engineers working on field robotics, autonomous vehicles, or modular robot design, offering clear examples of how control theory and computer vision converge in deployed systems.