Zhipeng Chen
Papers
6
Total Citations
109
H-Index
4
About
Zhipeng Chen is a researcher whose work sits at the intersection of robotics, precision measurement, and infrastructure monitoring. His research focuses on three interconnected domains: autonomous robotic inspection systems, inertial navigation and localization technologies, and structural health monitoring for civil infrastructure. Chen has made notable contributions to sewer inspection technology, with his work on defect instance segmentation and 3D reconstruction for floating capsule robots garnering 48 citations since 2022, establishing him as an emerging voice in intelligent pipeline inspection. His parallel investigations into earth-rockfill dam deformation monitoring — using high-precision flexible pipeline measurement systems — reflect a sophisticated understanding of geotechnical instrumentation, earning 30 citations for addressing the critical challenge of monitoring ultra-high rockfill dams exceeding 300 meters. Beyond infrastructure, Chen has advanced indoor robot localization by developing tight-integration frameworks combining Wi-Fi RTT, encoder data, and inertial navigation systems on affordable smartphone platforms, accumulating 24 citations. His additional work on concrete floor flatness inspection using wheeled robots further demonstrates his versatility in applying robotic sensing to construction quality assessment. Across these contributions, Chen consistently addresses real-world engineering limitations — sparse sampling, low efficiency, and measurement accuracy — making his research practically impactful for infrastructure safety and smart construction communities.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Wi-Fi RTT/Encoder/INS-Based Robot Indoor Localization Using Smartphones24 citations · 2023
- 4
- 5A Measurement and Accuracy Evaluation Method for Internal Dam Settlement2 citations · 2022
- 6