To support human decision making Area 3 defines two objectives: Combine data-driven approaches with configuration management methods and simulation environments in order to provide a reliable, trustworthy (data) basis for decision making. Provide this objective basis for decision making to humans in such a way that it takes into account their cognitive capabilities (e.g., information …
Unified Dependable Wireless Services Dependable wireless ICT platforms will enable cognitive products to anticipate, react, and adapt to their environment by providing Sensing of the environment of cognitive products, Localization of the product in and outside of the production environment, Networking of products and productions systems.
In this project an intelligent infrastructure for supporting a distributed maintenance system with respect to monitoring, detecting, analyzing, understanding product data for maintenance decisions will be researched: Monitoring the Production system and collecting data with a secure infrastructure Analyzing and Mining Data with respect to maintenance situations Simulation and Reasoning for Predicting Maintenance needs with …
Multimodal Technologies for learning and transferring semi-automated processes Cost Reduction in Machine (Re-)Configuration Configuring production machines in industrial environments take from two hours to two days today. Automated Learning from Similar Settings Overall long term vision to which this project contributes, are cognitive capabilities of machines to be able to learn and understand good configuration …
Learning and Transferring semi-automated Processes Weiterlesen »
Poor Implementation of Ethical Principles in large scale, interactive ICT systems The envisaged research shall not only lead to more robust, trustworthy and adaptive ICT systems, but shall also enable us to include ethical considerations in computers and software in the context of their interaction with humans and their environment. In this way it will …
Augmented Work Processes Suboptimal Information during industrial workflow During a typical industrial workflow workers need to track information from a variety of sources, usually spread out throughout a multitude of displays. Interaction with information in such segregated manner: negatively affects workers attention, impacts their cognitive capacities results in a decrease of their productivity.
