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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Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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072 | 7 | |a M |2 bicssc | |
100 | 1 | |a Mineo, Carmelo |4 edt | |
700 | 1 | |a Javadi, Yashar |4 edt | |
700 | 1 | |a Mineo, Carmelo |4 oth | |
700 | 1 | |a Javadi, Yashar |4 oth | |
245 | 1 | 0 | |a Robotic Non-destructive Testing |
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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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546 | |a English | ||
650 | 7 | |a Medicine |2 bicssc | |
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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/6799 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/98052 |7 0 |z DOAB: description of the publication |