Yong Fu
Papers
1
Total Citations
6
H-Index
1
About
Dr. Yong Fu is a leading researcher in underwater robotics and autonomous navigation, with a particular focus on bio-inspired robotic systems. His most impactful work centers on advancing path planning and dynamic obstacle avoidance for robotic fish operating in complex underwater environments. In his highly cited 2024 paper, Dr. Fu introduced a novel hybrid approach that integrates an improved Rapidly-exploring Random Tree* (RRT*) algorithm with a dynamic window approach, effectively solving two critical challenges: generating efficient, collision-free paths and enabling real-time responses to moving obstacles. This work has already garnered 6 citations, reflecting its immediate relevance to the field. Dr. Fu’s contributions are notable for bridging theoretical algorithm development with practical robotic applications, offering robust solutions for autonomous underwater vehicles. His research not only enhances the maneuverability and safety of robotic fish but also holds promise for broader applications in marine exploration, environmental monitoring, and underwater search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1