Satoshi Iwamoto

Papers

Total Citations

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About

Satoshi Iwamoto is a robotics and manufacturing researcher whose work focuses on advancing the precision and efficiency of industrial robot machining. His research addresses one of the central challenges in the field: enabling articulated industrial robots to perform high-accuracy machining tasks that traditionally require dedicated multi-axis machine tools. Iwamoto's 2021 paper on kinematic tool-path smoothing introduced a novel trajectory generation algorithm designed to achieve high-speed and high-accuracy machining through optimized linear interpolation in the workspace, garnering 11 citations and establishing him as a contributor to robot motion planning. Building on this foundation, his 2023 work on posture optimization leverages kinematic redundancy in vertically articulated robots to improve positioning accuracy, accumulating 6 citations. Together, these contributions tackle the well-known limitations of industrial robots — particularly their inferior rigidity and positioning accuracy compared to conventional machine tools — while capitalizing on their advantages of larger workspace, flexible installation, and lower cost. Iwamoto's research is particularly valuable for students and engineers seeking to integrate robotic systems into precision manufacturing environments, offering algorithmic solutions that bring industrial robots closer to machine-tool-grade performance.