Papers
4
Total Citations
36
H-Index
3
About
Ziyue Chen is a pioneering researcher at the intersection of intelligent robotics and advanced flexible electronics, whose work bridges autonomous navigation and wearable sensor technology. In robotics, Chen developed an intelligent system for autonomous exploration and active SLAM in unknown environments, integrating holonomic UGVs and UAVs with optimized view planning—a foundational contribution cited 15 times. This work extended to system integration for cluttered indoor navigation, demonstrating fast control via EtherCAT fieldbus communication. More recently, Chen has made groundbreaking contributions to flexible strain sensing. Their 2025 paper on a plasma-induced wrinkle-crack dual structure (10 citations) introduced a novel approach for robust, directional strain sensing in dynamic motion perception, addressing the critical challenge of multi-directional sensitivity and linearity. Complementing this, their 2024 work on directional characteristic enhancement (8 citations) leveraged strain partitioning effects in periodic composite hole substrates to create high-resolution omnidirectional detection sensors for human-machine interaction. Chen’s research uniquely combines hardware-software system integration with materials innovation, achieving notable impact in both autonomous robotics and wearable electronics. Their work on directional strain sensing, in particular, holds transformative potential for prosthetics, soft robotics, and motion-capture applications.
Research Focus
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Top Papers
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