Papers
8
Total Citations
116
H-Index
6
About
Deyun Mo is a leading researcher at the intersection of advanced manufacturing, flexible electronics, and intelligent robotics. His work centers on developing novel direct-ink-writing and 3D printing methods to create high-performance flexible sensors and soft robotic systems. Mo’s major contributions include the fabrication of carbon black/PDMS composite strain sensors for human motion monitoring (30 citations) and high-sensitivity, fast-response pressure sensors for electronic skin applications (26 citations), both demonstrating exceptional performance for wearable devices. He has also pioneered self-supporting 3D printed liquid metal electrodes for microfluidic valves and magnetic-controlled soft robots for non-contact applications. Beyond sensing, Mo applies reinforcement learning to digital twin environments for fruit-picking robot arms (20 citations) and has developed a 3D-printed biomimetic robotic fish for dynamic water quality monitoring in aquaculture. His recent work on a lightweight YOLOv7 model for orchard garbage detection showcases his commitment to sustainable agriculture. With over 100 total citations, Mo’s innovations in scalable, low-cost fabrication are paving the way for next-generation soft robotics, health monitoring, and smart agriculture technologies.
Research Focus
Key Achievements
Top Papers
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