Papers
5
Total Citations
173
H-Index
4
About
Mengxiao Chen is a leading innovator at the intersection of smart materials, soft robotics, and wearable electronics. Her research focuses on developing bioinspired and intelligent systems that bridge the gap between sensing, actuation, and human-machine interaction. Chen’s major contributions include pioneering a pressure visualization and recording matrix based on the piezotronic effect (73 citations), which enables direct optical readout of pressure distribution—a critical advancement for electronic skin and medical diagnostics. She has also advanced soft robotics with a bioinspired dynamic matrix using MXene-cellulose nanofiber soft actuators (37 citations), demonstrating exceptional conductivity and thermal efficiency for next-generation flexible devices. In wearable electronics, Chen’s comprehensive review on fiber-based transistors (28 citations) has guided the design of fabric-integrated sensors and circuits. Her interdisciplinary work extends to robotics, where she developed a real-time 3D mapping system combining 2D laser scanning with visual-inertial SLAM (31 citations), and recently introduced a learning-based inverse kinematics approach for magnetic continuum robots (4 citations), enabling precise teleoperated navigation. Chen’s research consistently integrates fundamental materials science with practical device engineering, making her a key figure in the development of intelligent, adaptive systems for healthcare, soft robotics, and human-centric technologies.
Research Focus
Key Achievements
Top Papers
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- 3Real-time 3D mapping using a 2D laser scanner and IMU-aided visual SLAM31 citations · 2017
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