Papers
8
Total Citations
69
H-Index
3
About
Xiang Dong is a leading researcher in biomimetic underwater robotics and multi-robot coordination, with a career dedicated to advancing autonomous systems for complex aquatic environments. His most impactful work, "A multi-robot coordinated hunting strategy with dynamic alliance" (27 citations), introduced a pioneering approach for multiple robots to cooperatively pursue evaders, establishing foundational algorithms for dynamic team formation in swarm robotics. Dong’s core contributions center on bio-inspired propulsion and control, particularly through his development of robotic fish propelled by undulating long-fins. His 2009 paper on motion control for such fish (22 citations) detailed the mechanics of a ten-ray-fin prototype, while his thrust analysis of undulating ribbon-fins (9 citations) provided critical insights for high-maneuverability underwater vehicles. Beyond locomotion, Dong has innovated in perception and system integration, including binocular vision for object recognition and networked control systems for remote operation. His recent work on a bio-inspired hydraulic soft robot for capturing non-cooperative underwater objects demonstrates ongoing leadership in adaptive, flexible AUV technology. With a portfolio spanning from miniature robotic fish to multi-sensor platforms, Dong’s research continues to shape the future of autonomous underwater exploration and surveillance.
Research Focus
Key Achievements
Top Papers
- 1A multi-robot coordinated hunting strategy with dynamic alliance27 citations · 2009
- 2Motion control for an underwater robotic fish with two undulating long-fins22 citations · 2009
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- 5Design of a Networked Control System for Biomimetic Robot Fish3 citations · 2008
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- 7A Miniature Biomimetic Robotic Fish and Its Realtime Path Planning2 citations · 2008
- 8A novel 3-D locomotion biomimetic robot fish with multiple sensors1 citations · 2008