Zhao Yin

University of Electronic Science and Technology of China, Huazhong University of Science and Technology

Papers

Total Citations

1,260

H-Index

About

Zhao Yin is a robotics and control systems researcher whose work spans adaptive control theory, neural network-based control, and underwater robotic platforms. His most influential contribution, "Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints" (2015), has garnered an remarkable 1,257 citations, establishing him as a significant voice in the field of intelligent robot control. In this seminal work, Zhao tackled the challenging problem of tracking control for uncertain n-link robotic manipulators operating under full-state constraints, designing adaptive neural network controllers for complex multiinput-multioutput systems — a contribution that has profoundly shaped subsequent research in constrained robot control. Beyond theoretical contributions, Zhao has demonstrated a commitment to practical engineering applications, as evidenced by his work on high-precision leveling control for underwater heavy-load platforms. This research applied adaptive backstepping control strategies to underwater parallel robots, addressing real-world challenges such as platform deformation and dynamic modeling in demanding subsea environments. Together, these works reflect Zhao Yin's dual expertise in both rigorous theoretical control design and its translation into sophisticated robotic applications, making his research particularly valuable for engineers and scholars working at the intersection of adaptive control and intelligent robotics.