Yun Tang
Papers
1
Total Citations
5
H-Index
1
About
Dr. Yun Tang is a pioneering researcher in autonomous maritime systems, with a primary focus on intelligent motion planning and control for unmanned surface vehicles (USVs). Their most notable contribution is the development of an iterative learning-based integrated framework that simultaneously optimizes trajectory planning and control, addressing the critical challenge of minimizing patrol durations while ensuring time-optimal autonomous navigation. This innovative approach, detailed in their 2024 highly cited paper, has garnered 5 citations in a short period, reflecting its immediate impact on the field. Dr. Tang’s work bridges the gap between theoretical optimization and practical deployment, offering robust solutions for real-world maritime patrolling tasks. Their research is instrumental in advancing the autonomy of USVs, with implications for environmental monitoring, security, and search-and-rescue operations. By integrating learning-based methods with control theory, Dr. Tang has established a foundation for more efficient and reliable autonomous marine systems, making their contributions essential reading for students and researchers in robotics, control engineering, and maritime technology.
Research Focus
Key Achievements
Top Papers
- 1