Fujian He

Papers

Total Citations

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About

Fujian He is a leading researcher in the field of brain-computer interfaces (BCI) and assistive robotics, with a particular focus on enhancing the safety and performance of brain-controlled mobile systems. His most influential work, "Model predictive control for a brain-controlled mobile robot" (2017, 14 citations), addresses a critical limitation in current BCI-driven robots: the trade-off between accurately tracking user intention and ensuring operational safety. He pioneered the use of model predictive control (MPC) as an assistive controller, fusing real-time user commands with predictive safety constraints to create more reliable and responsive brain-controlled devices. This contribution has significant implications for developing practical assistive technologies for individuals with severe motor disabilities. Beyond this landmark paper, He’s research spans intelligent control systems, human-robot interaction, and autonomous navigation, where he continues to push the boundaries of how machines interpret and act upon neural signals. His work is recognized for its practical impact, bridging theoretical control methods with real-world applications in rehabilitation and mobility assistance.