Shangen Zhang
Papers
3
Total Citations
79
H-Index
3
About
Shangen Zhang is a leading researcher at the intersection of brain-computer interfaces (BCI) and robotics, with a primary focus on Steady-State Visual Evoked Potential (SSVEP)-based control systems. His work addresses critical limitations in practical BCI applications, particularly the importability of stimulators and the flexibility of control. Zhang’s major contributions include pioneering the integration of Augmented Reality (AR) stimuli for SSVEP-BCI, demonstrated in his highly cited 2022 study on robot grasping systems (41 citations), which significantly improved stimulator portability. He further advanced the field by developing a humanoid robot capable of navigating a maze via AR-based SSVEP-BCI (25 citations), showcasing real-world robotic control. In 2023, Zhang introduced a groundbreaking hybrid system combining eye-tracking with SSVEP in a virtual reality environment, enabling simultaneous and sequential robotic arm control modes (13 citations). This multimodal approach addresses key issues of low flexibility and user fatigue. With over 79 cumulative citations, Zhang’s work is driving the next generation of practical, intuitive BCI-controlled robotics, directly impacting assistive technology and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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