Document Type
Conference Proceeding
Publication Date
2021
DOI
10.1109/ICRA48506.2021.9561265
Abstract
In this paper, we present a robotic system to automatically perform defect inspection tasks over free-form specular surfaces, which the image acquisition sub-system is equipped with a 6-DOF robot manipulator to achieve flexible scanning. Given the mesh model of the workpiece, we implement K-means based region segmentation algorithm on the point cloud after preprocessing. Then, we take the smooth regions as input to plan the scanning path. A projection registration method that robustly localizes the object in the robot’s frame is proposed for real-time workpiece localization. According to the optical features of the high-resolution line scan, we design an image processing pipeline to detect defects from the captured images. We report a detailed experimental study to validate the proposed methodology.
Source Publication
2021 IEEE International Conference on Robotics and Automation (ICRA)
ISSN
2577-087X
ISBN
978-1-7281-9077-8
First Page
11364
Last Page
11370
Recommended Citation
HUO, S.,Navarro-Alarcon, D.,& CHIK, T. (2021). A robotic defect inspection system for free-form specular surfaces. 2021 IEEE International Conference on Robotics and Automation (ICRA), 11364-11370. http://dx.doi.org/10.1109/ICRA48506.2021.9561265