With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …

The emergence of the Internet of Things and the interconnection of systems and machines
enables the idea of Industry 4.0, a new industrial paradigm with a strong focus on interaction …

The increasing importance of automation and smart capabilities for factories and other
industrial systems has led to the concept of Industry 4.0 (I4. 0). This concept aims at creating …

In a dynamic and rapidly changing world, customers' often conflicting demands have
continued to evolve, outstrip** the ability of the traditional factory to address modern-day …

The data-oriented paradigm has proven to be fundamental for the technological
transformation process that characterizes Industry 4.0 (I4. 0) so that big data and analytics is …

Despite rapid advances in modeling and analysis technology, the manufacturing industry
has been slow to implement prognostic and health management strategies. A cause of this …

This article captures the current trends in the development of communication interoperability
and common data modelling for the integration of devices into Industry 4.0 networks. The …

Vision-guided learning for autonomous robotic manipulations is a wide-ranging and high-
impact topic in the context of smart manufacturing. Most learning strategies are object …

Industry 4.0 (I4. 0) aims at achieving the interconnectivity of multiple industrial assets from
different hierarchical layers within a manufacturing environment. The Asset Administration …

The emerging concept of digital twin (DT) creates a holistic vision to change how we view
the design and operation of a cyber-physical system (CPS), and how to reconfigure its …