Papers
11
Total Citations
82
H-Index
5
About
Qinbo Sun is a pioneering researcher at the intersection of autonomous sailing robotics, artificial intelligence, and marine engineering. His work focuses on developing long-endurance sailing robots for ocean observation and exploration, with particular emphasis on energy management, autonomous navigation, and collision avoidance. Sun’s most impactful contribution is his comprehensive state-of-the-art review on energy perspectives for long-term sailing robots (24 citations), which has become a foundational reference in the field. He has made significant advances in autonomous station keeping through switched systems approaches, and developed the innovative Sailboat Test Arena (STAr), a remotely accessible platform that democratizes sailing robot research. His work on orientation-restricted Dubins paths for Kelvin wake avoidance (13 citations) addresses critical safety challenges in autonomous maritime navigation. Sun is also notable for his educational contributions, having pioneered project-based learning approaches that integrate AI and marine disciplines for high school students (14 citations). His research portfolio, spanning collision avoidance protocols, data-driven visualization platforms, and virtual testing environments using Unreal Engine 5, demonstrates a comprehensive approach to advancing autonomous sailing technology from concept to practical implementation.
Research Focus
Key Achievements
Top Papers
- 1Toward Long-Term Sailing Robots: State of the Art From Energy Perspectives24 citations · 2022
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- 6Collision Avoidance for Autonomous Sailboats Based on RRS Protocol5 citations · 2019
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- 8A Data-driven Visualization Platform for Sailing Robots4 citations · 2023
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