Yingxue Cui
Papers
2
Total Citations
12
H-Index
2
About
Yingxue Cui is a robotics researcher whose work lies at the intersection of biomimetic control, human-robot interaction, and brain-machine interfaces. Her most significant contribution is the development of a biomimetic adaptive pure pursuit (A-PP) algorithm for robot path tracking, inspired by natural motion constraints found in biological systems. This work, published in 2024 and garnering 8 citations, offers a novel approach to enhancing the autonomy and fluidity of four-wheel differential drive robots by mimicking the efficiency of natural movement. Additionally, Cui has pioneered teleoperation systems that integrate Electroencephalogram (EEG) signals to control wheeled mobile robots, as demonstrated in her 2022 paper with 4 citations. By using brain activity to induce and classify motion commands, she has advanced non-invasive, hands-free control paradigms, making robotics more accessible for assistive technologies. Her research bridges the gap between biological inspiration and practical robotic applications, with a clear focus on adaptive, intuitive control systems. Cui’s work is particularly notable for its potential to transform human-robot collaboration, offering safer and more responsive solutions for autonomous navigation and teleoperation.
Research Focus
Key Achievements
Top Papers
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- 2