INSPIRE Archived Webinars


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Webinar Date

20 Sep 2023, 10:00 am


Bridges, dams, highways, and tunnels in the U.S. are reaching their life expectancy, and thus have imperative needs for routine inspection and maintenance to ensure sustainability. It is reported that 42% of over 600,000 highway bridges in the National Bridge Inventory (NBI) have exceeded their design life of 50 years, and 42,951 bridges are rated in poor condition and classified as "structurally deficient". To inspect the structurally integrity of bridges, the inspectors also need to detect subsurface defects (i.e., delamination, voids) using NDE instruments such as GPR and impact-echo (IE) device at difficult to access components (i.e., pier, bottom side of the deck). The current practice of manual inspection hand-held NDE devices by a "spider-man" with rope access, or by using scaffolding or by using snooper truck has to block traffic, and is expensive, time-consuming, and exposes human inspectors to dangerous situations. This presentation will introduce climbing robots developed over the years at CCNY Robotics Lab that integrate the robot control and vision-based accurate positioning with NDE signal processing to detect both surface flaws and subsurface defects. The use of the robotic inspection tool will eliminate the time, hassle, and cost to layout grid lines on flat terrain, and make it possible to automatically collect NDE data with minimum human intervention. This presentation will also introduce machine learning algorithms for visual inspection to detect and measure cracks: IE data processing methods that utilizes both learning-based and classical methods to interpret the IE data and reveal subsurface objects; and DNN-based GPR data analysis software to reveal subsurface targets for better visualization.


Dr. Jizhong Xiao is a Professor in the Electrical Engineering Department at The City College of New York, the flagship campus of the City University of New York. Dr. Xiao's research interests include robotics and control, cyber-physical systems, non-destructive evaluation (NDE) of infrastructures, autonomous navigation and 3D simultaneous localization and mapping (SLAM), real-time and embedded computing, assistive technology, multi-agent systems and swarm robotics.


Civil, Architectural and Environmental Engineering

Research Center/Lab(s)

INSPIRE - University Transportation Center

Document Type

Video - Presentation

Document Version

Final Version

File Type





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