Longyu Zhang

Tianjin University of Technology, University of Ottawa

Papers

Total Citations

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About

Longyu Zhang is a researcher at the forefront of brain-computer interfaces (BCIs) and intelligent robotic systems, with a focus on assistive and rehabilitative technologies. Their most impactful work, "EEG-Controlled Wall-Crawling Cleaning Robot Using SSVEP-Based Brain-Computer Interface" (2020), has garnered 75 citations, demonstrating significant influence in the field. This study pioneered the integration of steady-state visual evoked potentials (SSVEP) with robotic control, enabling users to operate a wall-crawling cleaning robot through EEG signals alone—a breakthrough for individuals with motor impairments. Zhang also contributed to 3D imaging technologies with their work on an automatic human head scanning-printing system (2016). Their research bridges neural engineering and practical robotics, advancing non-invasive BCI applications for real-world assistive tasks. Zhang’s work underscores a commitment to making human-robot interaction more intuitive and accessible, with potential impacts spanning healthcare, smart home automation, and rehabilitation. Their contributions continue to inspire innovations in EEG-based control systems.