H2020Индивидуална стипендия2020–2022

ERABID · Enabling Robot Adaptive Behaviours for NDT Inspections in Dynamic Contexts

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2020-03-16 → 2022-03-15
Финансиране от ЕС: 171 473 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Автоматизираните роботизирани системи за откриване на дефекти в индустриални елементи се изследват чрез създаване на пътища за сканиране без ръчно програмиране. Това помага за постигане на производство без дефекти и може да се приложи при картографиране на терени с дронове или в космоса.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Enabling Robot Adaptive Behaviours for NDT Inspections in Dynamic Contexts

The action explored two main research topics. The first topic concerned the automated inspections to identify defects (both dimensional and volumetric) in industrial elements through non-destructive control methods. The second topic concerned the programming of industrial robots (robotic manipulators), the development of adaptive automatic methods and data management issues for the nascent intelligent industrial paradigms (Industry 4.0). The scalability of the approaches developed by this project makes them suitable to be used in different scenarios for applications that go beyond automated non-destructive testing. For example, the autonomous geometry mapping of complex parts and the autonomous robotic navigation are suitable for space exploration programs, land mapping through drones, etc. The outcomes of this action can be used to support digital and robotic innovation in Europe and have an impact on apparently distant fields. They contribute to addressing the needs and requirements defined by the European Factory of the Future initiatives (H2020-FOF projects), especially in zero-defect manufacturing. This action developed a new approach for real-time creating the robot path required to scan a part geometry. It removes manual programming and interaction requirements, adding autonomy to the geometry mapping problem. The approach is suitable for using a wide variety of metrology sensors and scalable to enable the mapping of large and/or complex geometries. Novel software modules were conceptualised to implement this action's new robotic inspection paradigms. In particular, the algorithms required to enable autonomous geometry mapping and volumetric robotic inspections were thoroughly tested and validated experimentally. These algorithms involved combining several concepts, including robot kinematics, metrology, machine vision, data collection and data analysis. This action demonstrated real-time robot path correction in response to sensor data. This action involved students of the department of engineering of the University of Palermo. Through a secondment phase, the researcher visited an Austrian research organisation (RECENDT GmbH) and supported their effort to automate laser-ultrasonic non-contact inspections. The research fellow had vibrant training opportunities, increasing his knowledge of advanced aspects concerning the Fourth Industrial Revolution. He delivered an academic course on Non-Destructive Evaluation for Industry 4.0 to the doctoral students of the department of engineering of the University of Palermo.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

A step change in the methods of inspection and measurement data, collected through robotic systems, is required to enable the next generation of intelligent systems to penetrate the manufacturing and construction industries. Dr Carmelo Mineo is an expert in state-of-the-art robotic ultrasonic inspection systems and in advanced software and graphical user interfaces. The project will allow a new generation of integrated robotic approaches for inspection of industrial production. As a member of the Department of Industrial and Digital Innovation (DIID), and through collaboration with supervisor Prof Donatella Cerniglia, Dr Mineo seeks to address a technology gap between research and industrial exploitation. His work will facilitate the migration of fundamental research, developed by the University of Palermo, towards higher technology readiness levels. The aim is to automate promising quality assessment techniques, in which DIID has a strong international reputation, using robotic manipulators. Although there are some examples of robotic inspection systems, developed by others, it is necessary to improve sensor integration, data fusion and enable real-time data processing, in order to fulfil the real meaning of autonomy and decision making in manufacturing. The proposed research is aligned with the requirements set by the nascent Industry 4.0. A two-month secondment phase, at a growing company (RECENDT, Austria), will increase the researcher’s cross-sectorial experience. The project includes vibrant opportunities of knowledge transfer and training for the development of the researcher and the hosts as well as clear plans to disseminate the project outcomes to different audiences.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITA DEGLI STUDI DI PALERMO · PalermoКоординаторИталия