Bingze He

Papers

Total Citations

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About

Bingze He is a rising researcher at the intersection of robotics, micro-manipulation, and brain–computer interfacing (BCI), whose work focuses on developing advanced robotic systems for high-precision surgical and assembly tasks. His key research areas include micro-robotic vision systems, macro-micro integrated surgical robots, and skill learning for micromanipulation. He’s best known for his pioneering work on a microscopic vision-based robotic system for floating electrode assembly, which addresses the critical challenge of implanting flexible neuroelectrodes for brain signal acquisition—a cornerstone for advancing BCI and neuroscience. His most cited paper (13 citations) demonstrates a novel method for handling slender, thin electrodes that typically require tungsten probes, offering a more reliable and miniaturized solution. He also contributed to the design of a macro-micro integrated brain surgery robot based on modular parallel mechanisms (6 citations), enhancing surgical precision and reliability. Additionally, his work on skill learning through human demonstrations with attention guidance (2 citations) explores how robots can learn delicate micro-manipulation tasks from teleoperated demonstrations, paving the way for more intuitive and autonomous surgical systems. With a growing citation impact and a focus on translating complex robotic capabilities into real-world medical applications, He is a promising figure in the field of surgical robotics and neural interface technology.