Huaying Qu
Papers
2
Total Citations
16
H-Index
2
About
Huaying Qu’s research lies at the intersection of machine vision, robotics, and sustainable engineering, with a focus on automating complex industrial and environmental tasks. Qu’s most cited work, “Automatic disassembly and recovery device for mobile phone circuit board CPU based on machine vision” (2020, 11 citations), introduces a novel device that leverages visual inspection and automated feeding to precisely dismantle and recycle CPUs from e-waste. This contribution directly addresses the growing challenge of electronic waste recycling, offering a scalable, intelligent solution that reduces manual labor and improves recovery efficiency. In parallel, Qu’s study “Research on Mobile Robot Positioning and Navigation System Based on Multi-sensor Fusion” (2020, 5 citations) tackles the limitations of single-sensor navigation in unknown indoor environments, proposing a multi-sensor fusion approach that minimizes cumulative errors and enhances robot autonomy. Together, these works demonstrate Qu’s commitment to advancing both sustainable manufacturing and intelligent robotics. By integrating vision systems with robotic manipulation, Qu has laid groundwork for more adaptive and environmentally responsible automation technologies, making a tangible impact on e-waste management and mobile robot navigation.
Research Focus
Key Achievements
Top Papers
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