Papers
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3
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About
Kiho Jeon is a researcher specializing in advanced control systems for industrial robotics and mechatronics, with a particular focus on vibration suppression and precision motion control. His most notable contribution addresses the critical challenge of position and velocity inaccuracies in two-mass systems—a common configuration in industrial robots where motor and load are connected by flexible elements. In his highly cited 2020 work, Jeon pioneered the application of Iterative Feedback Tuning (IFT) to cascade controllers for two-mass systems, offering a data-driven approach that systematically reduces vibration-induced errors without requiring explicit system models. This method directly enhances both safety and productivity in robotic applications by improving controller accuracy through iterative optimization. While his citation count is currently modest, his work represents a practical, implementable solution to a persistent industrial problem, bridging the gap between theoretical control design and real-world robotic performance. Jeon’s research is particularly valuable for engineers and researchers working on servo systems, flexible joint robots, and precision manufacturing equipment, where even minor positional errors can lead to significant operational issues.
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