Yicheng Yu
Papers
9
Total Citations
291
H-Index
6
About
Yicheng Yu is a leading researcher in acoustic sensing and robotics for infrastructure inspection, with a primary focus on water and sewerage pipe networks. His work addresses the critical challenge of detecting, localizing, and classifying defects in buried pipes—environments where conventional sensing methods fail. Yu’s most impactful contribution is his comprehensive review of acoustic and ultrasonic techniques for pipe condition monitoring, which has garnered 205 citations and serves as a foundational reference in the field. He has pioneered the use of microphone arrays and beamforming techniques to extend the usable acoustic frequency range for simultaneous defect detection and localization, as demonstrated in his 2023 study. Yu is also at the forefront of robotic localization in pipe networks, developing acoustic echo-localization methods that overcome the limitations of GPS-denied, feature-sparse environments. His work on analytical models for acoustic dispersion in partially filled water pipes (16 citations) further underscores his theoretical depth. With recent papers in 2024–2025 exploring dual-resolution sensing and sparse representation beamforming, Yu continues to push the boundaries of autonomous in-pipe inspection, making him a key innovator in infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1
- 2Acoustic Echo-Localization for Pipe Inspection Robots30 citations · 2020
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- 7Acoustic Echo Sensing for Robot Localization in Buried Pipe Networks6 citations · 2024
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