Xinping Yan
Papers
1
Total Citations
64
H-Index
1
About
Xinping Yan is a leading researcher in autonomous maritime systems, with a focus on unmanned surface vehicle (USV) formations and intelligent control. Their most cited work, "Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning" (2021, 64 citations), introduces a novel framework that combines deep reinforcement learning with distributed control to enable USV swarms to adapt dynamically to environmental changes and mission requirements. This contribution advances the field by addressing scalability and robustness challenges in multi-vehicle coordination, offering a foundation for real-world applications in ocean exploration, surveillance, and autonomous shipping. Yan’s research bridges theoretical advances in reinforcement learning with practical engineering constraints, demonstrating how AI-driven systems can enhance maritime autonomy. Their work has been recognized for its potential to transform naval operations and offshore industries, with the 2021 paper serving as a key reference for subsequent studies in adaptive formation control. Yan’s ongoing efforts continue to push the boundaries of intelligent maritime systems, making them a pivotal figure in the integration of AI and robotics for ocean engineering.
Research Focus
Key Achievements
Top Papers
- 1