Papers
5
Total Citations
29
H-Index
4
About
Dr. Xinhua Yi’s research bridges the critical gap between robotic sensing, control, and real-world autonomy, with a focus on agricultural, medical, and underwater systems. A central theme of their work is enhancing robot reliability and precision in challenging environments. Dr. Yi’s most cited paper (9 citations, 2020) addresses the fundamental challenge of strain transfer in no-substrate, thin-diameter sensors, a key contribution for improving sensor accuracy in delicate applications. Their early work on agricultural robots (7 citations, 2012) provided foundational experimental insights into long-range navigation behavior, comparing different software configurations to optimize real-world performance. In the domain of fault tolerance, Dr. Yi proposed a backstepping decentralized fault-tolerant control algorithm for reconfigurable modular robots (5 citations, 2013), enabling systems to maintain operation despite actuator failures. Further contributions include shape sensing integration for medical robots (5 citations, 2010) and stability analysis of underwater ROVs (2023). Through these diverse but interconnected contributions, Dr. Yi has advanced the practical deployment of intelligent robotic systems, demonstrating a sustained impact on sensor technology, control theory, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 5Stability Analysis of Underwater Engineering Remote Operated Vehicle3 citations · 2023