Abstract
Current study results on Robotics have been published. According to news reporting originating in Philadelphia, Pennsylvania, by NewsRx journalists, research stated, “This paper introduces a multi-scale robotic approach for measuring the width, length, shape, and profile of hairline cracks in concrete structures. The approach uses a convolutional neural network to identify potential surface cracks, and then robotically navigates a high-resolution laser scanner to measure the detailed shape of the detected cracks.” Financial support for this research came from Drexel University. The news reporters obtained a quote from the research from Drexel University, “Finally, 3D point cloud registration techniques fuse the laser scans with LiDAR-based scan of the surrounding environment. The proposed method is validated with computer simulations and physical experiments on a concrete specimen. The results are compared against the state-of-the-art, vision-based methods as well as readings of a transparent crack width ruler.”
NETL
NSTL
Elsevier