Papers
9
Total Citations
37
H-Index
4
About
Zhangwei Ling is a pioneering researcher in the field of robotic non-destructive testing (NDT) and industrial maintenance, with a primary focus on in-pipe inspection robots and human-robot collaboration for pressurized systems. His major contributions include the development of a novel robot-based system for ultrasonic inspection of pressure pipelines, which addresses the critical challenge of inspecting pipelines that are typically overhead or buried underground. Ling also designed a self-adaptive variable diameter robot capable of navigating through pipes of varying sizes, and a wall-climbing grinding robot for large spherical tanks, enhancing weld preparation for NDT. His work on laser-based calibration instruments improves robot positioning on curved surfaces, while his recent research explores risk-based performance assessment and agent-based system analysis for human-robot teaming in tank inspection. With over 37 citations across his most-cited papers, Ling’s research has significant implications for safety and efficiency in industrial environments. Notably, his 2017 paper on ultrasonic inspection of pipe elbows and his 2024 work on human-robot collaboration highlight his commitment to advancing both hardware and operational frameworks for hazardous inspection tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ultrasonic Inspection Technique for Inside Pressurized Pipe Elbows5 citations · 2017
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- 9Application of Neural Network Technology in Defect Image Recognition2 citations · 2021