Xiaojing Mu
Papers
3
Total Citations
33
H-Index
3
About
Xiaojing Mu is a leading researcher in the fields of flexible electronics, triboelectric nanogenerators (TENGs), and intelligent soft robotics. Their major contributions center on developing self-powered, highly sensitive sensors for motion detection and robotic perception. Notably, Mu’s work on “Self-powered multifunctional body motion detectors based on highly compressible and stretchable ferroelectrets with an air-filled parallel-tunnel structure” (2022, 25 citations) introduced a novel approach to creating durable, flexible sensors that harvest energy from human motion, enabling real-time body movement monitoring without external power sources. This innovation has significant implications for wearable health tech and human-machine interfaces. More recently, Mu has advanced the field with “Intelligent Soft Robotic System for Sensing and Recognition via Triboelectric‐Based Multi‐Sensor Fusion” (2025, 5 citations), which tackles the challenge of integrating multiple sensory inputs into flexible robotic systems, enhancing their ability to interact with complex environments. Their work on biomimetic structures for field robot motion recognition (2025, 3 citations) further demonstrates a commitment to practical, rugged applications. With a growing citation impact, Mu’s research is pivotal in bridging the gap between energy harvesting, soft robotics, and autonomous systems, offering scalable solutions for next-generation intelligent devices.
Research Focus
Key Achievements
Top Papers
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