Xiangzhong Meng
Papers
4
Total Citations
12
H-Index
2
About
Xiangzhong Meng is a researcher specializing in intelligent robotics, autonomous charging systems, and wireless power transfer technologies, with a particular focus on practical applications for patrol and inspection robots. His work sits at the intersection of power electronics and robotic autonomy, addressing one of the most persistent operational challenges in robotics: reliable and efficient energy replenishment. Meng's most recognized contribution is his 2018 paper on automatic charging system design for intelligent patrol robots, which introduced an economical and precise docking method combining infrared and laser sensors alongside phase-shifted full-bridge technology, accumulating 5 citations. Building on this foundation, his subsequent research explored magnetic coupled resonant wireless charging systems, proposing novel coil architectures — including a Double-Layer-Double-D configuration with nanocrystalline magnetic cores — to achieve higher efficiency and greater spatial flexibility in medium-distance energy transfer. Additionally, Meng has contributed to the field of robotic perception, developing an improved conjugate gradient descent algorithm for BP neural network-based digital instrument recognition in industrial inspection settings. While his citation counts remain modest, Meng's body of work represents meaningful applied engineering progress, offering practical solutions that advance the autonomy and reliability of patrol robots in real-world industrial environments.
Research Focus
Key Achievements
Top Papers
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