Guizhi Xu

Tianjin University of Science and Technology, Hebei University of Technology

Papers

Total Citations

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About

Guizhi Xu is a leading researcher at the intersection of brain-computer interfaces (BCIs) and human-robot collaboration. Her work focuses on enhancing the synergy between human intelligence and robotic systems, particularly through shared control mechanisms that preserve human agency. In her highly cited 2023 paper, Xu introduced a novel CVT-based asynchronous BCI for brain-controlled robot navigation, addressing the critical challenge of balancing human freedom with robotic autonomy in shared tasks—a contribution that has already garnered 30 citations. She also investigates how robotic design influences neural signals, as demonstrated in her 2020 study on the effect of humanoid robot graphic structures on N200 and P300 potentials, which showed that humanoid stimuli can amplify event-related potentials to improve BCI performance. Most recently, her 2024 work on hybrid BCI-based shared control continues to push boundaries in seamless human-robot interaction. With a growing citation impact and a focus on practical neuroergonomic applications, Xu’s research is shaping the future of assistive robotics and intelligent human-machine systems.