Guanbo Wang
Papers
2
Total Citations
6
H-Index
2
About
Guanbo Wang is a researcher advancing the field of high-speed robotic milling, with a focus on overcoming the inherent stiffness and stability limitations of industrial robots for precision manufacturing. His work centers on process monitoring, surface integrity, and dynamic behavior in robotic machining. Wang’s key contributions include developing an online vibration detection method using wavelet energy entropy of acoustic emission signals, enabling real-time process control. He has also systematically investigated the effects of cutting parameters on surface morphology, burr formation, and spindle axial drift during high-speed robotic milling of complex features. These studies provide critical insights for improving machining quality and tool life in flexible robotic systems. Though his most cited papers are recent (2024), with 4 and 2 citations respectively, they address foundational challenges in robotic machining. Wang’s research is particularly relevant for industries seeking to deploy robots in high-precision tasks, bridging the gap between industrial robotics and traditional CNC machining. His work promises to expand the application scope of robotic manufacturing.
Research Focus
Key Achievements
Top Papers
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