Papers
2
Total Citations
7
H-Index
2
About
Dr. Qingqing Yang is a researcher advancing intelligent industrial automation and sustainable energy infrastructure. Her work centers on two key areas: robotic vision systems for precision manufacturing and smart charging solutions for electric vehicles. In robotics, she developed a novel hand-eye calibration method for welding robots using structured light planes, addressing a critical challenge in industrial welding intelligence. This 2019 paper, cited 3 times, provides a practical approach for integrating line-structured light sensors with robot manipulators, enhancing automation accuracy. More recently, Dr. Yang has tackled electric vehicle charging equity with her 2024 study on "EV charging fairness protective management against charging demand uncertainty for a new '1 to N' automatic charging pile." Garnering 4 citations quickly, this work proposes a fairness-driven management strategy that accounts for unpredictable charging demand, ensuring equitable access in multi-user settings. Her contributions bridge the gap between theoretical control and real-world deployment, offering tangible solutions for both manufacturing and green energy sectors. Dr. Yang’s research demonstrates a commitment to solving practical engineering problems, making her a notable voice in the convergence of robotics and sustainable technology.
Research Focus
Key Achievements
Top Papers
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