Wenlu Yang

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About

Wenlu Yang is a leading researcher in brain-computer interfaces (BCI) and intelligent robotic control, with a particular focus on motor imagery (MI) paradigms. His most-cited work, "Motor imagery BCI-based robot arm system" (2011, 26 citations), introduces a novel MI-based BCI protocol that translates three modes of motor imagery into eight distinct commands, enabling intuitive, multi-degree-of-freedom control of robotic arms. This foundational contribution addresses a critical challenge in BCI systems—generating sufficient commands for complex prosthetics—and has influenced subsequent designs in assistive robotics and neurorehabilitation. Yang’s research bridges cognitive neuroscience and practical engineering, advancing non-invasive BCI applications for individuals with motor disabilities. By simplifying the mapping between neural signals and robotic actions, his work has opened new pathways for real-time, user-friendly neural control systems. With a growing citation impact, Wenlu Yang continues to shape the future of human-machine interaction, demonstrating how motor imagery can unlock sophisticated, responsive assistive technologies.