Motivation Artificial intelligence currently influences many areas, including machine vision. For applications in the fields of autonomous systems, medicine and industry there are fundamental challeng
The project KAMeri focuses on the improvement of occupational safety in a working context by analysing brainwaves and adapting human-maschine interaction according to the worker’s cognitive state. An
Reklamationen fertiger Produkte stellen für produzierende Unternehmen eine große Herausforderung dar. Einerseits sind sie ein großer Kostenfaktor, andererseits schaden Mängel in der Produktqualität la
The DEEP project is concerned with the challenge of mapping the current situation in which a person finds himself to symbolic situational representations linked to individual emotions. The project dev
The project "Visual Instore Customer Analytics and Recommendations" (VICAR) pursues the goal of providing stationary retailers with information about customer journeys and offering value-added service
The project addresses the issue of system integration and the creation of a unified and flexible software architecture for adaptable manufacturing systems using a service oriented paradigm – the Clust
ROBDEKON stands for "Robot systems for decontamination in hostile environments" and is dedicated to research in the field of autonomous or semi-autonomous robot systems. It is coordinated by the Fraun
The project aims at investigating how intentions of a robot can be understood by humans through anticipatory path selection in combination with iconic and verbal communication, so that the discomfort
Germany has seen a rapid rise in the number of cases in local hospitals. The increase in the number of outpatient emergency treatments that could also have been provided by a primary care physician ha
The aim of the project is to develop techniques to elicit requirements for systems to control autonomous vehicles, and validate them in a timely fashion, such that the necessary safety and security re