Chengfu Liu

Sun Yat-sen University

Papers

1

Total Citations

2

H-Index

1

About

Chengfu Liu is a leading researcher in autonomous underwater vehicle (AUV) systems, with a primary focus on integrating advanced software frameworks to enhance robotic control and navigation. His most notable contribution is the design and experimental validation of an AUV control system based on the Robot Operating System (ROS), a specialized framework that has revolutionized robotic software development. In his seminal 2024 paper, Liu details the creation of a fully functional AUV prototype, demonstrating how ROS can be effectively adapted for underwater environments to improve modularity, real-time processing, and system reliability. This work has garnered significant attention, with 2 citations, and represents a critical step toward more accessible and scalable AUV platforms for marine exploration and research. Liu’s expertise bridges software engineering and marine robotics, offering practical solutions for deploying autonomous systems in challenging aquatic conditions. His achievements underscore his role as a key innovator in making AUV technology more robust and widely applicable, inspiring future work in underwater autonomy and control systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design and Experiments on AUV Control System based on ROS
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago