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Enabling Robot Adaptive Behaviours for NDT Inspections in Dynamic Contexts

Project description

Next generation robotic systems for industrial inspection

The manufacturing and construction industries are moving towards automation to face the challenges emerging in our era of innovation. It is already a trend to inspect or measure data collected and processed by robotic systems. However, those systems are not yet developed at the required level. It is necessary to improve sensor integration and data fusion and allow real-time data processing. The EU-funded ERABID project intends to address the problem by developing a new generation of integrated robotic approaches for industrial production inspection. The project aims to address a technological gap that exists between industrial production and research and provides automated quality assessment techniques based on the use of robotic systems.

Objective

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.

Fields of science (EuroSciVoc)

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Topic(s)

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Funding Scheme

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MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2018

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Coordinator

UNIVERSITA DEGLI STUDI DI PALERMO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 171 473,28
Address
PIAZZA MARINA 61
90133 Palermo
Italy

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Region
Isole Sicilia Palermo
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 171 473,28
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