Papers
4
Total Citations
26
H-Index
3
About
Yingbin Feng is a robotics engineer specializing in inspection and maintenance robots for challenging industrial environments. His research focuses on three core areas: submersible robots for oil-immersed transformer fault detection, simultaneous localization and mapping (SLAM) for underwater robots, and in-pipe cleaning robots. Feng’s most notable contribution is the design of a spherical submersible transformer inspection robot with a zero-turn radius, enabling flexible motion inside oil-filled transformers—a task previously hindered by access and visibility issues. His work on WiFi-controlled fault detection robots addresses the labor-intensive and contamination-prone process of manual transformer inspection. In SLAM, Feng advanced the square-root cubature Kalman filter algorithm to improve convergence speed, accuracy, and numerical stability for underwater robot navigation. He also developed a wheeled in-pipe cleaning robot with a high-pressure water jet, tackling the challenge of cleaning large-diameter pipelines. His most cited paper (15 citations) on hovering control using an adaptive sliding-mode-based control method demonstrates his expertise in precise motion control. Feng’s innovations directly impact the reliability and safety of power transformers and pipeline infrastructure, offering practical solutions for real-world industrial maintenance.
Research Focus
Key Achievements
Top Papers
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