Description du projet
Des systèmes robotiques de nouvelle génération pour l’inspection industrielle
Les industries manufacturières et du bâtiment s’orientent vers l’automatisation afin de relever les défis émergeant de notre ère d’innovation. La tendance est déjà à l’inspection ou à la mesure des données collectées et traitées par des systèmes robotisés. Toutefois, ces systèmes ne sont pas encore développés au niveau requis. Il est indispensable d’améliorer l’intégration des capteurs et la fusion des données, et de permettre le traitement des données en temps réel. Le projet ERABID, financé par l’Union européenne, entend résoudre ce problème en développant une nouvelle génération d’approches robotiques intégrées pour l’inspection de la production industrielle. Le projet vise à combler le fossé technologique qui existe entre la production industrielle et la recherche, et apporte des techniques automatisées d’évaluation de la qualité basées sur l’utilisation de systèmes robotiques.
Objectif
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.
Champ scientifique
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencescomputer and information sciencesdata sciencedata processing
Programme(s)
Régime de financement
MSCA-IF-EF-ST - Standard EFCoordinateur
90133 Palermo
Italie