Yueming Chen
Papers
2
Total Citations
18
H-Index
2
About
Yueming Chen is a researcher at the forefront of soft robotics and intelligent manufacturing, with a focus on developing novel sensor systems and robotic vision technologies. Chen’s major contributions include pioneering work on transparent and flexible force sensors fabricated via microextrusion 3D printing, a breakthrough that enables applications in wearable electronics, robotic sensing, and underwater equipment. This highly cited work (15 citations) introduced a zig-zag patterned hydrogel-based sensor using slow-gelling alginate, demonstrating a novel approach to creating deformable, optically clear force transducers. Chen also advanced robotic perception by designing a monocular vision manipulator positioning system that integrates neural networks with an EdgeBoard embedded AI computing card and the Paddle-Lite architecture. This system, which runs on Linux, achieves real-time target detection and spatial positioning, showcasing the fusion of deep learning with practical robotics. With a growing citation record, Chen’s work bridges materials science, 3D printing, and AI-driven automation, offering scalable solutions for next-generation human-machine interfaces and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Transparent and flexible force sensor based on microextrusion 3D printing15 citations · 2018
- 2