Yujian An

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About

Yujian An is a pioneering researcher at the intersection of robotics, micro-manipulation, and neural engineering, whose work is shaping the future of brain–computer interfacing (BCI) and precision automation. His primary research areas include vision-based robotic systems, flexible neuroelectrode implantation, and skill learning for micro-manipulation. An’s most notable contribution is the development of a microscopic vision-based robotic system for floating electrode assembly, a breakthrough that enables the implantation of multichannel, miniaturized, flexible neuroelectrodes for high-quality brain signal acquisition. This work, published in 2024 with 13 citations, addresses the critical challenge of handling slender, thin electrodes that typically require tungsten probes as shuttles—a key advancement for BCI and neuroscience research. Additionally, An explores skill learning in robot-assisted micro-manipulation, using human demonstrations with attention guidance to overcome feedback limitations and extract subtle visual features, as seen in his 2024 paper with 2 citations. His achievements demonstrate a unique ability to merge robotic precision with biological interfaces, offering transformative tools for both clinical and research applications. An’s work is essential reading for students and researchers in robotics, neural engineering, and micro-systems.