Hongseok Choi
Papers
7
Total Citations
112
H-Index
5
About
Hongseok Choi is a leading researcher in the field of cable-driven parallel robots (CDPRs), with a focus on advancing robotic manipulation, teleoperation, and surgical applications. His work centers on solving critical challenges in force control, remote fine manipulation, and haptic feedback, particularly for complex tasks like peg-in-hole assembly and minimally invasive surgery. Choi’s most cited paper (2019, 36 citations) introduces an innovative approach to indirect force control in CDPRs, using an artificial neural network trained by force sensor measurements to estimate cable tension and overcome friction and unmodeled cable properties. He further extends CDPR capabilities in teleoperation (2020, 18 citations) and remote manipulation (2022, 20 citations), enabling intuitive bilateral control and fine manipulation in wide workspaces. In surgical robotics, Choi has made notable contributions, including image-based force estimation for single-port surgical robots (2012, 17 citations) and a haptic-guided teleoperated system for brain tumor removal (2016, 11 citations). His interdisciplinary work bridges robotics, control systems, and medical applications, with over 100 total citations reflecting its impact on advancing autonomous and teleoperated robotic systems.
Research Focus
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Top Papers
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