Papers

2

Total Citations

191

H-Index

2

About

Ling Du is a robotics researcher whose work centers on autonomous systems, intelligent control, and computer vision for marine and service robotics. Du’s most significant contribution is the comprehensive review “Path Planning Technologies for Autonomous Underwater Vehicles—A Review,” which has accumulated 186 citations. This paper systematically surveys modeling methods and path search algorithms for AUVs, establishing a foundational reference for researchers working on underwater navigation and mission planning. The work’s high citation count underscores its importance in guiding subsequent developments in autonomous marine vehicle technology. In a more recent project, Du designed an automatic recycling robot that integrates YOLOv4 target detection with a Jetson Nano and STM32F103ZET6 processing architecture, demonstrating practical applications of deep learning in robotic grasping and waste recovery. This work bridges computer vision and embedded control, showcasing Du’s ability to translate algorithmic advances into functional robotic systems. By addressing both foundational survey work and applied system design, Ling Du has made meaningful contributions to the fields of autonomous navigation and intelligent robotics, with ongoing potential to influence real-world automation in challenging environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
191
Total Citations
96
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning Technologies for Autonomous Underwater Vehicles-A Review
186 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: China Agricultural University, Southwest Petroleum University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago