Xing-Yuan Miao
Papers
3
Total Citations
19
H-Index
3
About
Xing-Yuan Miao is a leading researcher in pipeline robotics, specializing in intelligent control systems for hazardous industrial environments. His work focuses on two critical challenges: dynamic vibration suppression during pipeline maintenance and automated defect correction in large-diameter steel pipes. Miao’s most impactful contribution is the development of a reinforcement learning-based dynamic plugging regulation strategy for Pipeline Isolation Plugging Robots (PIPR), which addresses the severe flow-induced vibrations that threaten both pipeline integrity and robotic systems during plugging operations. This work, cited 10 times, represents a breakthrough in real-time adaptive control for in-pipe robots. He further advanced the field with an active vibration reduction control method that optimizes the dynamic plugging process, earning 4 citations. In 2024, Miao designed and implemented trajectory optimization for a novel large-diameter steel pipe grinding robot, tackling the inefficiency and safety risks of manual defect correction in complex internal pipe geometries. His research directly improves operational safety and precision in oil, gas, and industrial pipeline maintenance, bridging the gap between theoretical control systems and practical robotic deployment.
Research Focus
Key Achievements
Top Papers
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