Papers
2
Total Citations
3
H-Index
1
About
Zeyuan Yang is an emerging researcher specializing in robotic manufacturing, precision machining, and intelligent automation systems, with a particular focus on advancing grinding technologies for large-scale and geometrically complex components. Their work addresses some of the most technically demanding challenges in modern manufacturing: achieving consistent, high-quality surface finishes on free-form and flexible workpieces where traditional fixed machinery falls short. Yang's most notable contributions center on mobile robot-assisted grinding, an innovative approach that extends the reach and adaptability of automated machining to components previously difficult or impossible to process with conventional systems. Their research into non-uniform material removal during compliant robotic grinding tackles a critical real-world problem — the way a workpiece's complex curvature creates dynamic tool-contact variations and uneven dwell time distributions, leading to inconsistent surface quality. By modeling and addressing these phenomena, Yang's work helps bridge the gap between theoretical robotics and practical industrial application. Though early in their publishing career, Yang's research has already begun attracting citations across the manufacturing engineering community. For students and researchers working in robotic machining, intelligent manufacturing, or surface engineering, Yang represents a promising voice pushing the boundaries of what automated systems can achieve in precision fabrication.
Research Focus
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Top Papers
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