Papers
9
Total Citations
212
H-Index
7
About
Yanyang Lu is a leading researcher in mobile robot localization and marine vehicle guidance, with a focus on developing robust, energy-efficient methodologies for autonomous systems operating under real-world constraints. Her work addresses critical challenges in sensor fusion, communication protocols, and fault-tolerant estimation, particularly for robots equipped with energy harvesting sensors and Doppler-azimuth radars. Lu’s most influential contribution is her comprehensive survey on guidance and control methodologies for marine vehicles (2021), which has garnered 139 citations and serves as a foundational reference for the field. She has pioneered recursive fusion estimation techniques that enable mobile robot localization under stochastic communication protocols and dynamic event-triggered mechanisms, significantly advancing the state of the art in resilient filtering. Her notable achievements include developing variance-constrained H∞ filtering methods and adaptive fading extended Kalman filters that ensure robust performance despite measurement outliers and filter gain uncertainties. With over 200 total citations across her publications, Lu’s research has direct implications for autonomous navigation in GPS-denied environments, underwater vehicles, and industrial robotics, making her a key figure in the intersection of control theory and practical robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Guidance and control methodologies for marine vehicles: A survey139 citations · 2021
- 2
- 3
- 4Mobile robot localization under stochastic communication protocol11 citations · 2020
- 5
- 6
- 7
- 8Measurement Outlier-resistant Mobile Robot Localization6 citations · 2023
- 9