Yuanrong Chen
Papers
2
Total Citations
45
H-Index
2
About
Yuanrong Chen is a leading researcher in intelligent marine robotics, specializing in autonomous underwater inspection systems for aquaculture. His primary research areas include bionic robotic fish design, three-dimensional path-following control, and hybrid neural control strategies for underwater vehicles. Chen's major contribution lies in revolutionizing net cage inspection—traditionally a dangerous and inefficient task performed by human divers—by developing robotic solutions that enhance safety and operational efficiency. His most cited work, "Intelligent control method of underwater inspection robot in netcage" (2021, 27 citations), introduces a novel hybrid control strategy that integrates neural networks with traditional algorithms, enabling robots to autonomously navigate and inspect netting via onboard cameras. In a related breakthrough, "Three-dimensional path following control system for net cage inspection using bionic robotic fish" (2021, 18 citations), Chen designed a tuna-inspired robotic fish capable of executing complex helix paths in deep-sea environments, addressing challenges posed by overfishing and pollution. His work has garnered significant attention for its practical impact on sustainable mariculture, offering a scalable, cost-effective alternative to manual inspection. Chen's achievements underscore his role in advancing smart aquaculture technologies, with his research laying the groundwork for safer, more efficient underwater monitoring systems.
Research Focus
Key Achievements
Top Papers
- 1Intelligent control method of underwater inspection robot in netcage27 citations · 2021
- 2