Jiayuan Yan

Henan University of Technology, Huazhong University of Science and Technology

Papers

Total Citations

117

H-Index

About

Jiayuan Yan is a rising researcher whose work sits at the intersection of intelligent control systems, robotics, and real-world safety applications. Her primary research areas include adaptive critic design, fault-tolerant control (FTC), human-robot interaction (HRI), and computer vision for public health. Yan’s most impactful contribution is her 2024 paper on adaptive critic design for safety-optimal FTC of unknown nonlinear systems with asymmetric constrained-input, which has already garnered 107 citations—a remarkable achievement for a recent publication. This work addresses critical challenges in ensuring system safety and optimal performance under constraints, with implications for autonomous vehicles, drones, and industrial robotics. During the COVID-19 pandemic, Yan demonstrated practical engineering impact by developing a mask detection method based on Efficient-YOLO for robots, enabling automated screening in crowded public spaces. Her earlier work on teaching robots to write through human-robot interaction showcases her interest in intuitive human-machine collaboration, combining perception, learning, and control. Yan’s research trajectory—from foundational HRI to cutting-edge safety-optimal control—reflects a commitment to both theoretical rigor and societal relevance, making her a promising voice in modern control and robotics.