Eui-sun Kim
Papers
3
Total Citations
74
H-Index
3
About
Eui-sun Kim is a leading researcher in the field of cable-driven parallel robots (CDPRs), with a focus on advancing their precision, control, and teleoperation capabilities. His work addresses critical challenges in CDPR technology, including force control, tension estimation, and remote fine manipulation. In his highly cited 2019 paper (36 citations), Kim developed an innovative indirect force control method using an artificial neural network trained by force sensor measurements to estimate cable tension, overcoming friction and unmodeled cable properties. This contribution significantly improved the accuracy of force distribution at the robot end-effector. His 2022 study (20 citations) demonstrated the first remotely manipulated peg-in-hole task using CDPRs, paving the way for robotic fine manipulation in wide workspaces. Additionally, his 2020 work (18 citations) on intuitive bilateral teleoperation, where one CDPR controls another, showcased groundbreaking human-robot interaction capabilities. With over 74 total citations across his key papers, Kim’s research is instrumental in expanding CDPR applications from industrial automation to remote surgery and hazardous environment operations, making him a pivotal figure in modern robotics.
Research Focus
Key Achievements
Top Papers
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