autonomous systems

Due to the possibility of operator intervention, semi-autonomous systems allow for a better handling of complexity than fully autonomous systems. The use of a digital twin provides a novel interface for interaction with such systems. This paper describes the implementation of the control and user interface in a system with a digital twin. It is shown how the developed control architecture can be combined with different methods of human-machine interaction and virtual training. With this extended use of the control system by a digital twin the concept can be extended beyond the operation phase and can be used in other phases of the product life cycle.

The use of autonomous systems is not efficient in all applications due to variable system environments or small quantities. Semi-autonomous systems are able to bridge this gap. This article presents a digital twin-based approach for human-machine interaction using adaptive automation. A case study shows how a modular digital twin can support the operator of a CPS in specific tasks. This method allows for a distinction between short-term signal changes and long-term behavior modification. Thus, semi-autonomous systems can support operators in scenarios in which autonomous systems are not viable.

Global strategies for reduction of CO2-emissions and energy consumptions force large production facilities to reconsider rail transport as valid alternative for inbound in car manufacturing and for other time critical logistics. Both are demanding in time precision and volume. A disruptive approach using also CPS (cyber physical systems) is applied to introduce terminals with a direct access to motor ways and to rail infrastructures by autonomous systems as core in a new type of terminal superstructures. This brings about a leap frog improvement regarding dynamic and flexibility in response to factories demands’. A scenario is presented and promising qualitative key results are reported. The results have the potential to lay the foundation for further activities in planning and erecting a first terminal and a high volume and high quality multi model transport network in Europe within the context of TEN-T Urban Nodes developments.

The human being has the ability to adapt to physical changes in the production and logistic environment. The aim of this research project is to equip series transport vehicle with additional intelligent technique so that the vehicle becomes an automated guided vehicle (AGV) and to reduce the commissioning effort for AGVs. The user can control the AGV by voice and gesture so the AGV can do the work automatically. To realize such an interactive system it is important to develop decentralized controllers for the AGV. Thus, it is possible that the AGV is able to flexibly adapt his own behaviour.

The realization of cognitive technical systems deals with the implementation of a knowledge representational level inside technical systems. Hence, cognitive functions and processes (planning, learning etc.) can be used. Especially, the realization of learning (in contrast to adaptation) is the key for novel applications. In application, fields dealing with the guidance of complex systems which can not partially or completely be performed by human operators depending on the system itself, promise a new quality of automation.