Project description DEENESFRITPL 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. Show the project objective Hide the project objective 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 natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsnatural sciencescomputer and information sciencesdata sciencedata processing Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2018 - Individual Fellowships Call for proposal H2020-MSCA-IF-2018 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator UNIVERSITA DEGLI STUDI DI PALERMO Net EU contribution € 171 473,28 Address PIAZZA MARINA 61 90133 Palermo Italy See on map Region Isole Sicilia Palermo Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 171 473,28