Papers
5
Total Citations
46
H-Index
4
About
Yuhan Zhao is a pioneering researcher at the intersection of bioinspired engineering, robotics, and game theory. Their work spans from developing high-performance flexible pressure sensors that mimic the hierarchical structures of shark and crocodile skins—achieving 19 citations since 2025—to advancing trajectory tracking control for wheeled mobile robots using fractional-order backstepping methods. Zhao’s most impactful contributions lie in applying Stackelberg game theory to coordinate heterogeneous robot teams, particularly in multi-object rearrangement tasks with one-way communication constraints. Their 2022 paper on Stackelberg strategic guidance has garnered 9 citations, while their 2024 work integrating Koopman operator theory with game-theoretic trajectory guidance represents a novel approach to leader-follower dynamics under incomplete information. Notably, Zhao also explores the socioeconomic implications of automation, with a 2024 study on industrial robot applications and household migration decisions in China (6 citations). This breadth—from biomimetic sensor design and fractional calculus control to multi-robot game theory and labor economics—demonstrates Zhao’s unique ability to bridge engineering innovation with real-world societal impact, making their work relevant to researchers in robotics, control systems, and technology policy.
Research Focus
Key Achievements
Top Papers
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- 3Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration9 citations · 2022
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