Robotic Non-destructive Testing

Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-des...

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Bibliographic Details
Other Authors: Mineo, Carmelo (Editor), Javadi, Yashar (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-destructive testing to cope with increasing demands, including improved reliability and higher inspection speeds. Additionally, robots enable inspections in locations that are not easily accessible to human operators and allow for humans to be removed from potentially dangerous environments. However, the perceived complexity and high costs have limited the adoption of automation. As a result, the full potential that could be derived from the seamless integration of robotic platforms with sensors, actuators, and software has not been fully explored; it could still revolutionise the way that automated inspections are performed and conceived. The recent advancements in electronics, robotics, sensor technology and software pave the way for new developments in automated testing and data-driven autonomous robotic inspections in several sectors. This Special Issue aimed to attract the latest research outcomes in the field of robotic sensing. Five papers relate to inspection systems based on robotic fixed-base manipulators, three of which are associated with in-process inspection in manufacturing applications (robotic wire-arc welding and additive manufacturing). Four papers report research advancements in mobile robotic-enabled sensing. 
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653 |a wall-climbing robot 
653 |a passive adaptive mechanism 
653 |a magnetic circuit optimization 
653 |a flexible detection method 
653 |a welding robot 
653 |a seam tracking 
653 |a laser sensor 
653 |a feature point extracting 
653 |a complex welding seam 
653 |a UAVs 
653 |a inspection 
653 |a soft robotics 
653 |a non-destructive evaluation 
653 |a robotic NDE 
653 |a robotic welding 
653 |a robotic control 
653 |a in-process NDE 
653 |a ultrasonic NDE 
653 |a ultrasound 
653 |a image motion analysis 
653 |a image processing 
653 |a optical flow 
653 |a underwater robotic 
653 |a NDT 
653 |a free-form surface profiling 
653 |a autonomous robotic systems 
653 |a in-process robotic NDE 
653 |a Wire + Arc Additive Manufacture (WAAM) 
653 |a ultrasound testing 
653 |a total focusing method 
653 |a defect recognition 
653 |a aircraft inspection 
653 |a deep learning 
653 |a CNN 
653 |a UAV 
653 |a defect classification 
653 |a AI 
653 |a underwater vehicle-manipulator system 
653 |a robotics emulator 
653 |a contact management 
653 |a remote inspection 
653 |a force control 
653 |a automated eddy current testing 
653 |a eddy current arrays 
653 |a robotics 
653 |a thermography 
653 |a non-destructive testing 
653 |a image alignment 
653 |a image blending 
653 |a n/a 
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