Wenzhe Liao

Papers

Total Citations

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About

Wenzhe Liao is a rising researcher at the intersection of brain-computer interfaces (BCI) and shared robot control. His work focuses on enabling more intuitive and autonomous human-robot collaboration by integrating human neural signals with robotic intelligence. Liao’s most cited paper, “CVT-Based Asynchronous BCI for Brain-Controlled Robot Navigation” (2023, 30 citations), introduces a novel Centroidal Voronoi Tessellation (CVT) approach to asynchronous BCI, allowing users to navigate robots with greater freedom and reduced cognitive load. This work addresses a key limitation in shared control systems—restricting human agency—by proposing a framework that balances human intent with robotic autonomy. His follow-up study, “Research on shared control of robots based on hybrid brain-computer interface” (2024, 2 citations), extends this concept by combining multiple BCI modalities for more robust control. While early in his career, Liao’s contributions are already shaping the future of brain-controlled robotics, offering promising pathways for assistive technologies and human-robot interaction. His work is particularly relevant for students and researchers exploring non-invasive BCI, shared autonomy, and intelligent robotic systems.