Yajuan Liu
Papers
1
Total Citations
4
H-Index
1
About
Yajuan Liu is a leading researcher at the intersection of human-computer interaction (HCI) and robotic control, with a primary focus on noninvasive interface technologies. Her most influential work, the 2022 comprehensive review "Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future," has garnered 4 citations and stands as a seminal resource in the field. In this paper, Liu employs innovative "Mapping Knowledge Domains" (MKDs) techniques to systematically chart the evolution of noninvasive HCI methods—from electroencephalography (EEG) and electromyography (EMG) to eye-tracking and voice control—and their transformative applications in robotic systems. Her major contribution lies in providing a structured, historical roadmap that clarifies how these interfaces have matured, enabling more intuitive and accessible robot control for assistive technologies, rehabilitation, and industrial automation. By synthesizing decades of research, Liu’s work has helped define current best practices and future directions, making her a key figure in advancing human-robot collaboration. Her research continues to inspire new generations of engineers and scientists working to bridge the gap between human intent and machine action.
Research Focus
Key Achievements
Top Papers
- 1