Page 32 - ILK Research Report 2020

AI4DI

Artificial Intelligence for Digitizing Industry

The goal of the 40 international project partners involved in the EU project AI4DI, Period
is the transfer and utilization of the latest generation of machine learning and 06.01.2019 – 30.05.2022
artificial intelligence in applications in manufacturing, mobility and robotics.
The partners come from a wide range of industries, such as machinery, automo- Project Director
tive industry, semiconductor manufacturing, beverage industry and transport, Prof. Dr.-Ing. Niels Modler
which demonstrates the transferability and scope of the methods to be devel-
oped. To achieve the project goal, factories, processes, robots and devices will Contact Person
be connected to a digitalised industry. By incorporating machine learning and Dr.-Ing. Pawel Kostka
artificial intelligence, direct cooperation between humans and machines, the
detection of changes and the identification of abnormalities or anomalies will Funding
become possible. For this purpose, the data collected in this way will be used • European Union
and knowledge will be generated from it with the help of machine learning (ECSEL J, H2020)
and artificial intelligence in order to change the semantics and logical levels • Federal Ministry of Education
with distributed system intelligence. In the project parts that are performed and Research (BMBF)
by the ILK and the ZIH of the TU Dresden, a novel sensor technology for ro- • Freestate of Saxony
bots is being developed. This is intended to improve human-machine inter- • VDI/VDE
Innovation + Technology GmbH
action. The aim is to equip the robot surface with a sensory “sense of touch”
and thus enable safe and interactive cooperation between man and machine. Project Partner
see map below

Schematic overview of the planned human-machine interaction with an intelligent sensor layer
on robots

This measure is co-financed with tax funds
based on the budget approved by the Saxon
state parliament.

This project has received funding from
the ECSEL Joint Undertaking (JU) under
grant agreement No 826060. The JU
receives support from the European
Union’s Horizon 2020 research and
innovation programme and Germany,
Austria, Czech Republic, Italy, Latvia,
Belgium, Lithuania, France, Greece,
Finland, Norway.

Supervised by:
Map of the project partners involved in AI4DI

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