Jiasong Zhu
Papers
4
Total Citations
68
H-Index
3
About
Jiasong Zhu is a leading researcher in intelligent infrastructure inspection and robotic perception, with a primary focus on underground sewer systems and visual navigation. His work bridges computer vision, robotics, and civil engineering to solve critical challenges in urban infrastructure maintenance. Zhu’s most impactful contribution is his 2022 paper on sewer defect instance segmentation, localization, and 3D reconstruction for floating capsule robots, which has garnered 48 citations—a strong indicator of its influence in the field. This work enables autonomous robots to detect and map pipe defects in real time, directly addressing the risk of road collapses and sinkholes. He has also advanced visual odometry, a core technology for autonomous navigation, by incorporating graph and geodesic distance constraints into deep learning frameworks (7 citations). His comprehensive 2025 review on underground pipeline inspection in mountainous areas (11 citations) provides a critical roadmap for deploying robotic systems in challenging terrains. Zhu’s collaborative research on large-area sewer pipe network inspection using robotic capsules further demonstrates his commitment to practical, scalable solutions. Through these contributions, he is shaping the future of resilient urban infrastructure and autonomous robotic inspection.
Research Focus
Key Achievements
Top Papers
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