Zhen-ling Pan
Papers
1
Total Citations
2
H-Index
1
About
Zhen-ling Pan is a researcher specializing in bio-inspired robotics and pipeline inspection technologies, with a particular focus on leak detection systems. Their most notable contribution is the design and control of a pipeline leak detection robot fish, detailed in their 2018 study. Drawing from simplified fish motion models, Pan developed a single-joint-driven robotic fish equipped with a Hawkeye OV7725 image acquisition module, enabling real-time visual monitoring of pipeline conditions. This innovative approach merges biomimetic locomotion with practical industrial applications, offering a cost-effective and agile solution for detecting oil leakage points in complex pipeline networks. While the direct citation count for this work stands at 2, its conceptual novelty and cross-disciplinary nature—spanning robotics, fluid dynamics, and environmental monitoring—highlight Pan’s role in advancing autonomous inspection systems. The research underscores a growing trend toward nature-inspired engineering for critical infrastructure maintenance. Pan’s work serves as a foundational step for future developments in underwater robotics and non-destructive testing, appealing to students and researchers interested in the intersection of biomechanics, control systems, and industrial safety.
Research Focus
Key Achievements
Top Papers
- 1Study on the Design and Control of Pipeline Leak Detection Robot Fish2 citations · 2018