Zhenpeng Li
Papers
1
Total Citations
2
H-Index
1
About
Dr. Zhenpeng Li is a leading innovator at the intersection of robotics, non-destructive evaluation, and deep learning, with a primary focus on advancing ground-penetrating radar (GPR) technology for autonomous infrastructure inspection. His major contribution lies in developing a fully integrated robotic system that couples automated GPR data collection with an unsupervised deep neural network for abnormal trace reconstruction. This work directly tackles the critical challenge of acquiring high-quality, noise-free GPR data in real-world settings, enabling more reliable detection of subsurface defects in roads, bridges, and buildings. His most-cited 2025 paper, which has already garnered 2 citations, establishes a foundational framework for intelligent, self-navigating inspection platforms. By combining robotics with unsupervised learning, Dr. Li is moving the field beyond manual, labor-intensive surveys toward scalable, autonomous monitoring. His research is pivotal for proactive infrastructure maintenance, promising to reduce costs and prevent catastrophic failures. For students and researchers, Dr. Li’s work exemplifies how integrating robotics with advanced signal processing can solve practical, high-impact engineering problems.
Research Focus
Key Achievements
Top Papers
- 1