ZiMeng Guo
Papers
2
Total Citations
116
H-Index
2
About
ZiMeng Guo is a leading researcher in robotic machining, with a focus on improving the precision and stability of industrial robotic systems for milling and drilling operations. Her work addresses critical challenges in automated manufacturing, particularly the dynamic interactions between cutting tools, workpiece positioning, and robotic arm behavior. Guo’s most-cited paper, “Effect of the cutter path and the workpiece clamping position on the stability of the robotic milling system” (2016, 74 citations), provides foundational insights into how path planning and clamping strategies can suppress chatter and enhance machining stability. She further advanced the field with “A practical method of improving hole position accuracy in the robotic drilling process” (2018, 42 citations), offering a cost-effective, implementable solution to a persistent problem in aerospace and automotive assembly. Together, these contributions have been widely adopted by researchers and engineers seeking to bridge the gap between theoretical robotics and real-world manufacturing precision. Guo’s work is essential reading for anyone interested in the intersection of robotics, control systems, and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
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