Yiyang Zhao
Papers
5
Total Citations
28
H-Index
3
About
Yiyang Zhao is an emerging researcher specializing in industrial robotics, intelligent manufacturing, and advanced mechatronics systems. His work sits at the intersection of robotic performance optimization, precision machining, and condition monitoring — areas increasingly critical to modern smart manufacturing environments. Zhao's most notable contributions include developing predictive algorithms for harmonic reducer performance using multivariate state estimation and dimensionality reduction techniques, enabling proactive maintenance of robot transmission components essential to positioning accuracy and service life. His research on robotic milling has made significant strides, addressing the persistent challenge of vibration-induced surface quality degradation — a key limitation of industrial robots in large-scale part machining. His studies on tool vibration modeling and redundant degree-of-freedom optimization during flat-end milling demonstrate a rigorous, dynamics-driven approach to improving machining outcomes. Beyond machining, Zhao has expanded into bio-inspired robotics, designing a biomimetic inchworm magnetic wall-climbing robot capable of performing welding, grinding, and inspection tasks on large steel structures. His trajectory generation work further reflects his broad command of robot motion planning across hybrid task and joint spaces. With citations accumulating across multiple high-impact publications since 2022, Zhao represents a promising voice in next-generation robotics research.
Research Focus
Key Achievements
Top Papers
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