Koichi MORISHIGE
Papers
4
Total Citations
15
H-Index
3
About
Koichi Morishige is a researcher specializing in manufacturing automation, industrial robotics, and advanced machining processes. His work sits at the intersection of robot programming, surface quality assessment, and intelligent manufacturing systems, with a particular focus on replacing skilled human labor in demanding production environments. Morishige's most notable contributions center on automating the polishing process for free-form surfaces using industrial robots — a field where full automation has historically proven elusive due to the nuanced judgment required of experienced workers. His early foundational work (2005) addressed polishing path generation that accounts for surface curvature, laying the groundwork for subsequent advances. He later pioneered the use of image processing and statistical pattern recognition to evaluate polished surface quality, effectively replicating the visual inspection capabilities of skilled personnel and bringing polishing automation significantly closer to practical implementation. More recently, Morishige has expanded his research into offline robot teaching methods, developing techniques for optimal workpiece placement that maximize robot manipulability during complex operations. His 2022 work reflects growing industry demand for flexible, virtually simulated robot programming environments. While his citation counts remain modest — his leading paper drawing five citations — his contributions address genuinely challenging manufacturing problems, making his research valuable to engineers and researchers pursuing intelligent factory automation and human-skill replication in industrial settings.
Research Focus
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Top Papers
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