Papers
4
Total Citations
55
H-Index
3
About
J. Ramsing is a researcher specializing in advanced manufacturing automation, sensor-based process monitoring, and intelligent quality control systems — particularly within the domain of robot-assisted polishing (RAP). Their work has made meaningful contributions to the transition of polishing operations from labor-intensive manual processes to reliable, automated systems capable of delivering consistent product quality. Central to Ramsing's research portfolio is the application of acoustic emission (AE) sensing as a non-intrusive, real-time monitoring tool for surface generation during robotic polishing. Rather than halting production for conventional surface roughness measurements, their approach enables continuous in-process feedback — a significant practical advancement for industrial automation. Their 2015 study on feature extraction and pattern recognition in AE monitoring stands as their most influential work, accumulating 28 citations and demonstrating how signal processing techniques can be harnessed to interpret complex acoustic data during polishing. Ramsing further extended this work into the realm of cognitive decision-making, exploring how multi-sensor data fusion can support intelligent, adaptive process control. Collectively, their publications — spanning from 2013 to 2015 and totaling over 55 citations — represent a focused and impactful body of research that bridges robotics, signal processing, and precision manufacturing engineering.
Research Focus
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