Zhiyuan Ming
Papers
3
Total Citations
31
H-Index
2
About
Zhiyuan Ming is a pioneering researcher in brain-computer interfaces (BCIs) and intelligent robotic control, with a focus on translating neural signals into seamless human-machine collaboration. His work centers on developing non-invasive, high-performance BCI systems for assistive and industrial applications, including brain-controlled navigation, rehabilitation exoskeletons, and robotic arms. Ming’s major contributions include the introduction of a spatial gradient controller and predictive environmental coordinator for 2D navigation robots, enabling more intuitive and efficient directional control (20 citations). He also advanced rehabilitation technology with a brain-controlled hand exoskeleton that integrates an augmented reality-fused stimulus paradigm, moving beyond passive control to enhance user engagement and system responsiveness (9 citations). Most recently, Ming explored the "pilot to embodier" paradigm, using the E-VEP (evoked visual event-related potential) approach to control robotic arms in complex 3D manufacturing scenarios for the Internet of Things (2 citations). His work bridges the gap between human intent and machine action, with notable achievements in improving BCI accuracy and real-world applicability. Ming’s research is highly relevant for students and engineers interested in next-generation assistive robotics, neurorehabilitation, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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