Sooyong Choi

Papers

Total Citations

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About

Sooyong Choi is a researcher advancing the field of robotic manipulation and tendon-driven mechanisms. His work centers on the precise control and sensing of flexible, cable-actuated systems, with a particular focus on force estimation in tendon-sheath mechanisms—a critical challenge for surgical robots, wearable devices, and soft robotics. His most-cited paper, "Distal End Force Estimation of Tendon-sheath Mechanism Using a Spring Sheath" (2023), introduces an innovative method to infer forces at the distal tip without direct sensors, using a spring-embedded sheath to model friction and nonlinearities. This contribution addresses a long-standing barrier in achieving accurate haptic feedback and control in confined or tortuous paths, where traditional sensing is impractical. With 8 citations in a short time, this work is gaining traction among researchers in medical robotics and cable-driven systems. Choi’s approach combines analytical modeling with practical design, offering a scalable solution for improving safety and dexterity in minimally invasive tools. His research continues to push the boundaries of how machines interact with complex environments, making him a promising voice in the next generation of robotic actuation and sensing.