Yongdeok Yun

Papers

Total Citations

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About

Dr. Yongdeok Yun is a pioneering researcher in the field of brain-computer interfaces (BCIs) and assistive robotics, with a primary focus on translating neural signals into practical motor control. His most-cited work, "Design of a brain-controlled robot arm system based on upper-limb movement imagery" (2018, 13 citations), introduces a modular prototype that decodes electroencephalography (EEG) patterns from imagined arm movements to command a robotic limb. This contribution is significant for its systematic integration of a brain-machine interface (BMI), network communication, and robotic actuation, laying groundwork for non-invasive neuroprosthetics. By demonstrating how upper-limb motor imagery can be reliably mapped to real-world actions, Dr. Yun’s research addresses critical challenges in assistive technology for individuals with motor disabilities. His work bridges cognitive neuroscience and engineering, offering a scalable framework for future BCI-driven rehabilitation tools. Though early in its citation impact, this study represents a foundational step toward intuitive, thought-controlled robotic systems, highlighting Dr. Yun’s commitment to advancing human-machine interaction and restoring mobility through neural engineering.