Yan Bian

Tianjin University of Technology and Education, Automation Research and Design Institute of Metallurgical Industry (China)

Papers

Total Citations

H-Index

About

Yan Bian’s research lies at the intersection of brain-computer interfaces (BCIs), human-machine interaction, and intelligent robotics, with a particular focus on applications in extreme environments like outer space and industrial settings. Her pioneering work includes developing an SSVEP-based control system for multi-degree-of-freedom manipulators (2009, 18 citations), which laid the groundwork for non-invasive neural control of complex machinery. She later advanced multi-modal human-machine interfaces for aerospace robots (2015, 7 citations), enabling more intuitive and robust control in space missions. A notable contribution is her BCI-based control system for space robots (2016, 4 citations), demonstrating how thought-driven commands can replace physical movement—a breakthrough with implications for both astronaut assistance and rehabilitation. Bian also innovated in signal processing by applying wavelet packet decomposition to BCIs (2009, 2 citations), improving information transmission rates over traditional FFT methods. More recently, she designed a temperature measurement and sampling robot for steel plants (2022, 2 citations), replacing dangerous manual tasks in high-heat environments. Her work bridges fundamental BCI research with real-world robotic applications, earning her recognition as a key figure in adaptive, human-centered automation.