Papers
3
Total Citations
116
H-Index
3
About
Bao Mi is a researcher specializing in robotic welding quality control, laser ultrasonics, and real-time sensing systems — a niche but critically important field bridging advanced manufacturing and intelligent automation. His most significant contributions center on developing innovative ultrasound-based monitoring systems capable of measuring weld penetration depth in real time, a parameter central to ensuring structural integrity in automated welding processes. His 2005 paper, "Real-Time Weld Penetration Depth Monitoring With Laser Ultrasonic Sensing System," stands as his most influential work with 57 citations, demonstrating a practical system that uses laser-generated ultrasound to monitor the weld pool dynamically during robotic welding operations. Complementing this, his 2002 work on automated real-time data acquisition systems for weld quality monitoring has garnered 55 citations, reflecting the foundational importance of reliable data infrastructure in closed-loop manufacturing control. His 2003 investigation into fiber phased array ultrasound generation further illustrates his commitment to refining signal generation and analysis methodologies for penetration control. Collectively, Mi's research has meaningfully advanced the field of intelligent robotic welding, offering engineers robust, non-destructive sensing solutions that improve weld reliability without interrupting production workflows.
Research Focus
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