Yuanyuan Qiao
Papers
1
Total Citations
15
H-Index
1
About
Dr. Yuanyuan Qiao is a leading researcher in autonomous marine robotics, with a primary focus on developing intelligent control systems for surface vessels operating in complex, real-world environments. Her most notable contribution is the pioneering application of Deep Reinforcement Learning (DRL) to the trajectory tracking control of autonomous surface vessels (ASVs) in natural waters. This work, which has garnered 15 citations since 2023, directly addresses the persistent challenge of accurate control amidst unpredictable hydrodynamics and environmental disturbances. By demonstrating that a DRL-based controller can outperform traditional methods in both simulation and real-world sea trials, Dr. Qiao has provided a robust, adaptive framework that significantly advances the field. Her research bridges the gap between theoretical reinforcement learning and practical marine navigation, offering a scalable solution for autonomous shipping, environmental monitoring, and offshore operations. Dr. Qiao’s work is recognized for its tangible impact, providing a critical foundation for the next generation of resilient, intelligent maritime systems.
Research Focus
Key Achievements
Top Papers
- 1