Do-Gyeong Yuk

Papers

Total Citations

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About

Do-Gyeong Yuk is a researcher at the intersection of human-robot interaction and haptic feedback systems, with a primary focus on intuitive robotic control through wearable technology. His most influential work, "User independent hand motion recognition for robot arm manipulation" (2022), has garnered 9 citations and addresses a critical challenge in robotics: enabling seamless, user-agnostic control of robotic arms through natural hand gestures. This contribution is foundational for developing assistive technologies that do not require user-specific calibration. Building on this, Yuk’s 2023 study, "Robot Hand Control Using Haptic Glove," proposes a master glove integrated with bend sensors and haptic feedback, successfully demonstrating real-time motion control of a slave robot hand. This work is notable for its dual focus on both command input and sensory feedback, bridging the gap between teleoperation and immersive control. With a growing citation impact, Yuk’s research is paving the way for more intuitive, accessible robotic interfaces, making him a promising voice in the fields of wearable robotics and human-machine collaboration.