Papers
1
Total Citations
2
H-Index
1
About
Yuxiang Lu is a researcher in advanced manufacturing and intelligent control systems, with a focus on precision machining of unstructured workpieces. His work integrates sensorless monitoring, adaptive control, and edge computing to enhance the efficiency and accuracy of master–slave robotic machining. In his most-cited paper, "A novel control scheme based on SMM, VAC, and EC for master–slave machining of unstructured workpieces" (2024), Lu proposes a novel framework that combines sensorless motor monitoring (SMM), vibration adaptive control (VAC), and edge computing (EC) to enable real-time, adaptive machining without the need for expensive external sensors. This contribution addresses critical challenges in automating the machining of irregular or complex parts, offering a cost-effective and robust solution for industrial applications. Despite its recent publication, the work has already garnered 2 citations, signaling growing interest in his approach. Lu’s research is particularly notable for its practical orientation, bridging the gap between theoretical control methods and real-world manufacturing constraints. His achievements highlight a promising trajectory in smart manufacturing, with potential implications for reducing waste and improving productivity in custom or small-batch production environments.
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Top Papers
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