Papers

3

Total Citations

127

H-Index

2

About

Pingpeng Tang is a leading researcher in autonomous marine robotics, with a primary focus on the navigation and obstacle avoidance of unmanned surface vehicles (USVs). His work addresses one of the most critical challenges in the field: enabling high-speed USVs to operate safely and autonomously in complex and unpredictable marine environments. Tang’s major contributions include the development of a local reactive obstacle avoidance approach for high-speed USVs (73 citations), which allows for rapid, real-time responses to immediate threats. He also pioneered an adaptive obstacle avoidance algorithm designed specifically for complicated marine settings (52 citations), significantly advancing the robustness of autonomous navigation. In a notable achievement, Tang introduced a novel far-field collision detection method that integrates marine traffic rules into dynamic trajectory replanning, bridging the gap between simple collision avoidance and rule-compliant autonomous behavior. His work has been instrumental in moving USVs from theoretical study toward practical, real-world deployment, making him a key figure in the evolution of intelligent marine systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
127
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Local reactive obstacle avoidance approach for high-speed unmanned surface vehicle
73 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Harbin Engineering University, Wuhan Ship Development & Design Institute

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago