Papers
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Total Citations
3
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About
Yujin An is a rising researcher in the field of brain-computer interfaces (BCI), with a focused interest in motor imagery (MI) for real-world robotic control. Her most notable work, "Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation" (2024), addresses a critical bottleneck in BCI research: the gap between laboratory demonstrations and practical, everyday use. By validating a low-cost, non-invasive system over multiple days, An demonstrated that MI-based control of a mobile robot is not only feasible but also robust enough for extended operation. This work directly impacts the development of assistive technologies, such as wheelchairs and prosthetics, where intuitive, thought-driven control can dramatically improve quality of life. Though early in her career, with her top-cited paper already garnering 3 citations, An’s contribution lies in proving that affordable BCI systems can achieve reliable, multi-day performance—a key step toward democratizing neural control technology. Her research bridges neuroscience, robotics, and human-computer interaction, offering a pragmatic path forward for BCI-enabled teleoperation.
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Top Papers
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