Yao Meng
Papers
1
Total Citations
5
H-Index
1
About
Yao Meng is a researcher specializing in intelligent robotics and automation systems, with a particular focus on autonomous navigation, sensor integration, and energy management solutions for mobile robots. Their most cited work, "Design and implementation of an automatic charging system for intelligent patrol robot" (2018, 5 citations), presents a cost-effective approach combining infrared and laser sensors to achieve precise automatic charging docking for patrol robots. This contribution addresses a critical challenge in long-duration autonomous robot operation—reliable self-charging without human intervention. By integrating phase-shifted full-bridge technology, Meng’s design enhances docking accuracy and system efficiency, offering practical solutions for real-world deployment in security and surveillance applications. While their citation count is modest, the work demonstrates applied engineering innovation with clear industrial relevance. Meng’s research bridges sensor fusion and power electronics, contributing to the growing field of autonomous service robots. Their work is particularly valuable for students and engineers developing self-sustaining robotic systems, showcasing how practical sensor integration can solve real-world automation challenges.
Research Focus
Key Achievements
Top Papers
- 1