Haiyang Zhang
Papers
3
Total Citations
223
H-Index
3
About
Haiyang Zhang is a leading researcher in robotic precision manufacturing, with a primary focus on the high-performance finishing of complex components such as aero-engine blades and optical elements. His major contributions lie in advancing force control and path planning strategies to overcome critical limitations in automated polishing and grinding. Zhang’s most influential work, a 2019 paper on novel force control strategies for robotic abrasive belt grinding, has garnered 127 citations by solving the persistent challenge of surface machining consistency. He further refined robotic accuracy through a 2016 study on TCP-based calibration using scanner measurements (74 citations), establishing a foundation for reliable automation in aerospace manufacturing. More recently, Zhang introduced a universal random tree-shaped path for robotic bonnet polishing (2022), a creative approach that suppresses mid-spatial-frequency waviness—a key defect impairing optical imaging performance. By mimicking natural growth patterns, this method offers a versatile solution for high-precision optics. With a career defined by bridging control theory and practical robotic applications, Zhang’s work directly impacts the quality and efficiency of finishing processes in both aerospace and optical industries.
Research Focus
Key Achievements
Top Papers
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