The digital transformation of production requires new methods of data integration and
storage, as well as decision making and support systems that work vertically and …

This paper investigates long-short-term-memory-based learning of inverse dynamics for an
industrial robot from experimental data. A Franka Emika Robot is used as a case study to …

Abstract The Industrial Internet of Things (IIoT) is leading to increasingly-interconnected and
networked industrial processes and environments, which, in turn, results in stakeholders …

Companies are increasingly using model-based systems engineering (MBSE) in product
development in order to achieve greater effectiveness, efficiency and better control of …