Intelligent operator-independent flexibility in robotic non-destructive evaluation
Hifi, Amine and Vithanage, Randika K.W. and McKnight, Shaun and Tunukovic, Vedran and Nicolson, Ewan and Gomes, Rylan and Poole, Alastair and Mohseni, Ehsan and Pierce, S. Gareth and MacLeod, Charles and O'Hare, Tom and Munro, Gavin (2026) Intelligent operator-independent flexibility in robotic non-destructive evaluation. Advanced Intelligent Systems. (In Press) (https://doi.org/10.1002/aisy.202501137)
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Abstract
The Non-Ddestructive Evaluation (NDE) of high-value components is commonly regarded as a bottleneck in the manufacturing industry. Even though robotic automation is leveraged these days to accelerate the process, the productivity is still hindered by the limitation of robotic and automated systems requiring intensive calibrations and precise fixturing of inspection components. This restricts the systems' flexibility and ability to adapt to uncertainties in part geometry, the inspection process or changing environment. This study presents a system that is both flexible and adaptable, integrating 3D vision sensing and force-position control with the human collaborative KUKA LBR robot. The system is designed for the geometry agnostic precise delivery of ultrasonic NDE sensors, enabling the inspection of materials with varying geometries and surface profiles. The developed system demonstrated its efficacy by providing the user with the ability to inspect a given workpiece at a random pose without having prior knowledge of the component. Pose independence was proven with multiple scans producing consistent results, achieving high inspection sensitivity via detecting 100% of the fabricated defects in the scan region. This study has succeeded in investigating the suitability of flexible human collaborative manipulators for nondestructive evaluation and showcases the successful integration of an adaptable scanning system capable of identifying and scanning varying geometries regardless of pose while producing high-quality scans consistently. The study achieved a significant time savings of approximately 97%, reducing setup and processing time from 35 minutes to just 1 minute.
ORCID iDs
Hifi, Amine
ORCID: https://orcid.org/0009-0007-9794-3986, Vithanage, Randika K.W.
ORCID: https://orcid.org/0000-0002-1023-2564, McKnight, Shaun
ORCID: https://orcid.org/0000-0002-3904-5092, Tunukovic, Vedran
ORCID: https://orcid.org/0000-0002-3102-9098, Nicolson, Ewan
ORCID: https://orcid.org/0000-0002-8174-1665, Gomes, Rylan
ORCID: https://orcid.org/0009-0004-9937-7322, Poole, Alastair
ORCID: https://orcid.org/0000-0002-3835-9444, Mohseni, Ehsan
ORCID: https://orcid.org/0000-0002-0819-6592, Pierce, S. Gareth
ORCID: https://orcid.org/0000-0003-0312-8766, MacLeod, Charles
ORCID: https://orcid.org/0000-0003-4364-9769, O'Hare, Tom and Munro, Gavin;
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Item type: Article ID code: 95241 Dates: DateEvent8 January 2026Published8 January 2026AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering > Electrical apparatus and materials Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Design, Manufacture and Engineering Management > National Manufacturing Institute Scotland
Technology and Innovation Centre > Sensors and Asset Management
Strategic Research Themes > Advanced Manufacturing and MaterialsDepositing user: Pure Administrator Date deposited: 09 Jan 2026 14:39 Last modified: 08 Feb 2026 01:43 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/95241
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