@inproceedings{4fb02bd2655f498a8e149fcaf215cf6e,
title = "Autonomous robotic inspection system for drill holes tilt: feasibility and development by advanced simulation and real testing",
abstract = "Industry 4.0 and forthcoming 5.0 introduce process methods that primarily rely on robotic systems to succeed. Robotic systems provide accuracy in inspection tasks over current methods. However, in the aerospace industry the required accuracy is beyond what a standard robotic arm can provide. This paper aims to introduce a simple finite state-controlled robotic system using image processing to guide the motion and evaluate the tilt of a series of drill holes using one of them as reference hole. The system is developed via simulation in RoboDK and then validated in both a simulated and a real setup, using an ABB GoFa robot. The inspection experiment is performed by aligning the camera optical axis to the first drill hole axis. By taking it as a reference, the rest of the holes are measured and compared with the reference one, and to the ground-truth results. Drill hole detection is refined using a proposed circle optimisation algorithm. Results demonstrate the validity of the approach with an error below 0.5 degrees.",
keywords = "drill tilt, finite-state machine, Industrial robotics, inspection system, machine vision, RoboDK",
author = "Morsi, {Nour M.} and Mario Mata and Harrison, {Colin S.} and David Semple",
year = "2023",
month = oct,
day = "16",
doi = "10.1109/ICAC57885.2023.10275276",
language = "English",
isbn = "9798350335866",
series = "ICAC 2023 - 28th International Conference on Automation and Computing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "The 28th International Conference on Automation and Computing (ICAC)",
address = "United States",
note = "28th International Conference on Automation and Computing, ICAC2023 ; Conference date: 30-08-2023 Through 01-09-2023",
url = "https://cacsuk.co.uk/icac2023/",
}