Papers
2
Total Citations
16
H-Index
2
About
Mengjiao Qu is a rising innovator at the intersection of soft robotics, wearable sensing, and human-machine interaction. Her research focuses on developing advanced multimodal perception systems that bridge the gap between rigid electronics and flexible, biocompatible interfaces. Qu’s most-cited work introduces a full-range proximity-tactile sensor for minimally invasive surgical robots, achieving 10 citations by enabling safer, more intuitive robotic manipulation through fusion of tactile and proximity data. She further advances human-machine interaction with a synchronous gesture recognition and joint angle monitoring system using multiple flexible ultrasonic patches (6 citations), overcoming the limitations of bulky traditional probes for long-term wearability. By integrating deep muscle tissue monitoring with real-time motion tracking, Qu’s contributions directly impact prosthetic control, rehabilitation, and surgical robotics. Her work demonstrates a clear trajectory toward seamless, non-invasive interfaces that enhance both robotic autonomy and human capability. With a focus on practical deployment in clinical and assistive technologies, Qu is establishing herself as a key contributor to the next generation of soft, intelligent wearable systems.
Research Focus
Key Achievements
Top Papers
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