Yuqing Mao
Papers
1
Total Citations
2
H-Index
1
About
Yuqing Mao is a researcher at the forefront of brain-computer interface (BCI) technology, with a primary focus on developing intuitive, layered systems that bridge human neural activity and robotic control. Their most cited work, "The Design of a Layered Brain-Computer Interface System With Target Identification Module to Control Home Service Robot" (2024, 2 citations), introduces a novel architecture that simplifies complex robot operation for disabled users. By integrating a target identification module, Mao’s system reduces the cognitive and physical burden of continuous, high-intensity control, enabling more accessible and efficient interaction with home service robots. This contribution addresses a critical barrier in assistive technology—making BCI-driven devices practical for daily use by individuals with limited mobility. Though early in their citation trajectory, Mao’s work demonstrates a clear commitment to human-centered design and neural engineering, with potential to shape future adaptive interfaces. Their research stands out for its practical emphasis on usability and real-world application, offering a promising pathway toward more autonomous and empowering assistive technologies for people with disabilities.
Research Focus
Key Achievements
Top Papers
- 1