Papers
4
Total Citations
10
H-Index
2
About
Shuai Kong is a leading researcher in the field of industrial robotics and non-destructive testing (NDT), with a primary focus on the development of advanced wall-climbing robots for the inspection of large-scale metal spherical tanks. His key contributions center on automating weld seam inspection using Time-of-Flight Diffraction (TOFD) and magnetic particle testing, directly addressing the critical safety needs of the chemical and energy industries. Kong’s work tackles the fundamental challenge of accurate robot navigation on curved surfaces, designing laser-based calibration instruments to overcome slippage and deviation that could lead to missed defects. He has also pioneered the integration of neural network technology for real-time defect image recognition, enhancing both the speed and accuracy of pressure vessel inspections. With a cumulative citation count of 10 across his most-cited papers, Kong’s research is recognized for its practical impact, notably his 2023 study on spherical tank inspection robots. By replacing dangerous manual labor and complex scaffolding with automated, cost-effective robotic solutions, Shuai Kong is shaping the future of industrial safety and intelligent maintenance.
Research Focus
Key Achievements
Top Papers
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- 4Application of Neural Network Technology in Defect Image Recognition2 citations · 2021