Dirk Söffker

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This contribution summarizes the theoretical background of a cognitive-oriented architecture to build autonomous systems. A special situation-operator-model, developed to model the human-machine-interaction, is used to structure the reality and map this structuring to a mental model of the system to enable planning and learning. The presented architecture(More)
Future autonomous service robots are intended to operate in open and complex environments. This in turn implies complications ensuring safe operation. The tenor of few available investigations is the need for dynamically assessing operational risks. Furthermore, a new kind of hazards being implicated by the robot's capability to manipulate the environment(More)
A novel architecture for Cognitive Technical Systems with a homogeneous knowledge representation for all cognitive functions is presented. The approach is methodically based on Situation-Operator-Modeling and implemented with high-level Petri Nets. It is not restricted to certain application fields and can be combined with other AI methods. By the(More)
—Autonomous systems are often needed to perform tasks in complex and dynamic environments. For this class of systems, traditional safety assuring methods are not satisfying due to the unknown effects of the interacting system with an open environment. Briefly speaking: What is not known during the development phase, can not be adequately considered. In(More)
The main advantage of hybrid powertrains is based on the efficient transfer of power and torque from power sources to the powertrain as well as recapturing of reversible energies without effecting the vehicle performance. The benefits of hybrid hydraulic powertrains can be better utilized with an appropriate power management. In this paper, different types(More)