Papers
23
Total Citations
925
H-Index
11
About
Xianbo Xiang is a prominent researcher specializing in marine robotics, autonomous underwater vehicles (AUVs), and intelligent control systems for ocean exploration. His work sits at the intersection of fuzzy-logic-based control, path planning, and autonomous navigation for both surface and underwater robotic platforms. Xiang's most influential contribution, a 2017 survey on fuzzy-logic-based guidance and control of marine vehicles, has garnered over 340 citations, establishing him as a leading voice in intelligent marine control systems. His research on risk analysis and decision-making for underwater robotic vehicles (136 citations) further demonstrates his commitment to advancing safe and reliable autonomous operations in challenging underwater environments. Beyond theoretical contributions, Xiang has made significant practical advances, including cloud-based fleet control architectures for unmanned surface vehicles and the innovative Virtual Submerged Floating Operational System — a safer testbed for simulated underwater manipulation experiments. His work on AUV localization, hybrid underwater robotic vehicles, and composite path-planning algorithms collectively reflect a comprehensive research program aimed at making ocean exploration more autonomous, efficient, and accessible. With a consistently growing citation record, Xiang's contributions are shaping the future of intelligent marine robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2On intelligent risk analysis and critical decision of underwater robotic vehicle136 citations · 2017
- 3AUV localisation: a review of passive and active techniques82 citations · 2021
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- 5Virtual Submerged Floating Operational System for Robotic Manipulation75 citations · 2018
- 6Improved Astar Algorithm for Path Planning of Marine Robot36 citations · 2018
- 7Hybrid underwater robotic vehicles: the state-of-the-art and future trends33 citations · 2015
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