Weirong Luo

Dalian Maritime University

Papers

5

Total Citations

26

H-Index

3

About

Weirong Luo is a robotics and control systems researcher whose work centers on autonomous underwater vehicles, cable-driven parallel robots, and advanced control methodologies for marine applications. Their research addresses critical real-world challenges in maritime operations, developing innovative robotic solutions that replace dangerous and labor-intensive manual tasks such as ship derusting, hull cleaning, and cargo hold maintenance. Among Luo's most notable contributions is a novel autonomous underwater robot featuring fully vectored propulsion, controlled via model predictive control to overcome the inherent limitations of six-degree-of-freedom underwater maneuverability — a paper that has garnered 11 citations since its 2024 publication. Their work on cable-driven parallel robots for ship derusting, combining dynamic modeling with robust adaptive sliding mode control, has earned 9 citations and represents a meaningful advance in marine automation safety and positioning accuracy. Subsequent research on adaptive finite-time control and fuzzy second-order integral terminal sliding mode strategies further demonstrates a consistent drive toward more precise, resilient robotic control architectures. Collectively, Luo's portfolio reflects a researcher committed to bridging sophisticated control theory with practical marine engineering demands, producing systems designed to improve efficiency, reduce human risk, and expand autonomous capability in challenging underwater and shipboard environments.

Research Focus

Key Achievements

3
H-Index
5
Papers
26
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Model Predictive Control for an Autonomous Underwater Robot with Fully Vectored Propulsion
11 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Dalian Maritime University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago