Magnus Volkmann

TL;DR: This work proposes a structure based on OPC UA, which unifies the procedure of programming for the human operator, regardless of whether the task is performed by a robot or a machine tool in the end.

TL;DR: A Runge-Kutta Neural Network is used for black-box identification of a nonlinear robot joint and secondary encoders as additional angle sensors measure the gearbox error and are used for supervised learning.

TL;DR: In this article, the integration of these two approaches to enable Cyber-Physical Production Modules to use skills in a more cooperative manner is discussed. But the authors focus on modelling of the I4.0 language messages and the interaction state machines for the "skill execution" semantic interaction protocol as well as its representation in an Asset Administration Shell.

TL;DR: A reference model developed jointly by members of various organizations in a working group of the Plattform Industrie 4.0 can be seen as a basis for further standardization of capabilities and skills.

TL;DR: In this paper, the authors show existing OPC UA skill models and extend them by a feasibility and context check, which allows to ask a Cyber-Physical Production Module in advance if a skill can be executed with a defined parameter set.