Papers

3

Total Citations

133

H-Index

3

About

Wen Pang is a leading researcher in autonomous underwater vehicle (AUV) coordination, specializing in multi-AUV formation control, obstacle avoidance, and adaptive reconfiguration in complex ocean environments. Their work addresses critical challenges in underwater robotics, particularly how fleets of AUVs can dynamically reshape their formations while navigating unpredictable currents and obstacles. Pang's most cited paper (77 citations) introduces a novel obstacle avoidance algorithm that combines affine transformation with an improved artificial potential field, enabling AUV teams to reconfigure their formation in real-time under ocean current disturbances. A second highly influential paper (36 citations) extends this work to three-dimensional environments, solving the nonplanar formation reconfiguration problem through distributed adaptive control. A third paper (20 citations) further refines these techniques using rigid-graph theory. Collectively, Pang's research has garnered over 130 citations, establishing them as a key contributor to the field of multi-agent underwater robotics. Their work has significant implications for ocean exploration, environmental monitoring, and underwater infrastructure inspection, where robust, adaptive AUV teams are essential for operating in challenging, dynamic marine environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
133
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Multi-AUV Formation Reconfiguration Obstacle Avoidance Algorithm Based on Affine Transformation and Improved Artificial Potential Field Under Ocean Currents Disturbance
77 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Shanghai for Science and Technology, Shanghai Maritime University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago