Anjie Zhu

About

Anjie Zhu is a rising researcher at the intersection of brain–computer interfaces (BCI) and robotics, with a primary focus on enhancing human–machine interaction through neurotechnology. Her most cited work, "Using Humanoid Robots to Obtain High-Quality Motor Imagery Electroencephalogram Data for Better Brain–Computer Interaction" (2023), addresses a critical bottleneck in BCI systems: the difficulty users face in generating clear motor imagery (MI) signals. By demonstrating that humanoid robot stimulation can significantly improve EEG signal quality, Zhu’s research offers a practical pathway to more reliable and intuitive BCI applications. This contribution is particularly impactful for rehabilitation and assistive technologies, where precise neural decoding is essential. With 7 citations in a short time, her work is gaining traction in the neuroengineering community. Zhu’s innovative approach—merging robotics with cognitive neuroscience—positions her as a promising voice in the quest for seamless brain-driven control systems. Her findings not only advance fundamental understanding of motor imagery but also pave the way for next-generation, user-friendly BCI devices.

Research Focus

Key Achievements

Top Papers

1. 1
   Using Humanoid Robots to Obtain High-Quality Motor Imagery Electroencephalogram Data for Better Brain–Computer Interaction

   7 citations · 2023

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