Haiping An
Papers
2
Total Citations
7
H-Index
2
About
Haiping An is a researcher specializing in industrial robotics and machine vision, with a focus on automating manufacturing processes through intelligent visual guidance systems. Their major contributions lie in developing solutions for two critical challenges in automated production: the recognition and positioning of adhesive, scattered workpieces, and the design of vision-guided sorting systems. In their 2019 work on adhesive workpiece recognition, An applied machine vision techniques to segment and extract overlapping objects on robot workbenches, addressing a common bottleneck in automated handling. Their 2018 study on visual-guided sorting systems leveraged Webots simulation to integrate Hu invariant moments for rapid target recognition, demonstrating a practical approach to replacing inefficient manual inspection. Though early in their career, with papers accumulating 4 and 3 citations respectively, An’s work represents foundational steps toward more flexible and intelligent industrial automation. Their research bridges simulation and real-world application, offering scalable methods for robotic sorting and object recognition that could significantly enhance production line efficiency. An’s focus on practical, implementable solutions marks them as a promising contributor to the field of industrial robotics and machine vision.
Research Focus
Key Achievements
Top Papers
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- 2