Cheng-Yi Huang

Chongqing University, University of Koblenz and Landau

Papers

Total Citations

H-Index

About

Cheng-Yi Huang is a rising researcher whose work bridges flexible electronics and intelligent robotic control. His primary research areas include soft sensor design, smart materials, and deep learning for autonomous systems. Huang’s most impactful contribution is a novel flexible capacitive pressure sensor, detailed in his 2024 paper, which achieves a wide detection range through a carboxyl iron particle-paraffin wax/silicone composite. This innovation, already garnering 15 citations, addresses a critical challenge in wearable and robotic tactile sensing by combining sensitivity with robustness. In parallel, Huang has advanced autonomous navigation with his work on a Convolutional Vision Transformer as a path-following controller for omnidirectional robots. This deep neural network approach decomposes long reference paths into shorter horizons, implicitly enforcing a Hankel structure to improve control precision and efficiency. Though early in his career, Huang’s dual focus on novel material composites and cutting-edge AI controllers demonstrates a unique ability to integrate hardware and software innovations. His work holds promise for next-generation soft robotics, human-machine interfaces, and intelligent automation, marking him as a researcher to watch in the evolving landscape of smart systems.