A System Architecture for Assistance in Manual Tasks

Fabian Quint, Frieder Loch, Marius Orfgen, Detlef Zühlke

In: Paulo Novais , Shin'ichi Konomi . Intelligent Environments 2016. Seiten 43-52 Ambient Intelligence and Smart Environments 21 ISBN 978-1-61499-689-7 IOS Press 2016.


This paper presents an architecture for a system that assists workers in manual tasks. The system integrates different assistance modalities applicable for assembly and maintenance. It supports several operational environments and assists the worker by providing instructions for sequential processes. The system is not limited to specific assistance modalities and currently integrates augmented reality on multiple devices like smart glasses or tablets and enhanced sensor technologies to adapt ssistance to the context. The instructions are formalized using entity-relationship diagrams and an information model focusing on AR-based assistance is developed. Finally, the system architecture used to integrate the different modalities in a modular manner is shown.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence