Mittelstand 4.0-Kompetenzzentrum Bremen

Mittelstand 4.0-Kompetenzzentrum Bremen offers medium-sized companies in the Bremen region support in increasing their digitalization skills. In particular, specialists and executives in the innovation clusters Maritime Economics and Logistics, Wind Energy, Aerospace, Automotive and Food and Beverages are to be made aware of digitalization, qualified and trained to become "Digital Ambassadors".
The centre offers competent contacts and target group-oriented services in the areas of: digital communication, digital service, digital traffic, digital product and digital transhipment. The Mittelstand 4.0-Kompetenzzentrum Bremen is managed by Bremeninvest (consortium leader). Partners are the Bremen Institut für Produktion und Logistik GmbH (BIBA), Institute for Shipping Economics and Logistics (ISL), Fraunhofer IGD/Fraunhofer IDMT and OFFIS e. V.

Project Leader LogDynamics: Prof. Dr.-Ing. Klaus-Dieter Thoben
» www.kompetenzzentrum-bremen.digital


Interactive Robotic System for Unloading of Sea Containers
40-foot standard containers are the most common sea containers worldwide. With their internal dimensions of around 12 by 2.3 by 2.4 metres, they have a loading volume of a good 65 cubic metres and a payload of around 26 tonnes. Emptying these containers is a heavy job that is still largely manual in the ports today. In the future, it will be done with the help of a new type of robot. The BIBA - Bremen Institut für Produktion und Logistik at the University of Bremen is conducting research with its development partners BLG Handelslogistik and SCHULZ Systemtechnik from Bremen and FRAMOS from Taufkirchen in the new project "Interactive Robotic System for Emptying Sea Containers" (IRiS).
The project aims to improve working conditions and the efficiency of transhipment processes at seaports. The novel mobile robot developed in the project should be able to be used for unloading within a very short time without major adaptations in the existing operational infrastructure. It will be able to move self-propelled between several doors and, as the container is gradually emptied, will be able to enter the container and will have a new kinematics and gripping system. Established methods of machine learning enable the robot to classify and optimally unload different packing scenarios.
The German Federal Ministry of Transport and Digital Infrastructure (BMVI) is funding this three-year project with 2.2 million euros as part of the Innovative Port Technologies Programme (IHATEC). The total volume amounts to 3.16 million euros. The project is supported by the project management organisation TÜV Rheinland, and BLG Handelslogistik as network coordinator
Project Leader LogDynamics: Prof. Dr.-Ing. Michael Freitag
» www.iris-projekt.de


Collaborative Research Center “Everyday Activity Science and Engineering
"Please set the table!" – many instructions, which are easy for humans to implement, present robots with enormous challenges. In order to carry out activities, they need extremely detailed information: what should be placed on the table? How to best grab a glass? And how do you recognize a table at all? In order for robots to be able to execute statements with a high degree of abstraction independently, they must be able to obtain missing information themselves. The German Research Foundation (DFG) has now approved a further Collaborative Research Center (CRC) at the University of Bremen, where scientists are working with completely new approaches to the fact that robots implement abstract instructions independently. They enable them to learn. The CRC EASE (Everyday Activity Science and Engineering) was launched on July 1, 2017 and is financed by the DFG for 10 years at its first funding phase. Several LogDynamics members are involved in the CRC.
Within the framework of basic research, EASE will examine how people manage their day-to-day activities in an extremely flexible, reliable and efficient manner. This understanding is then intended to inspire a new generation of robot control models to achieve a comparable level. "When robots learn how to properly interpret colloquial instructions, there are numerous possibilities for increasing the quality of life - for example for people with disabilities or for seniors who want to live independently in their own four walls," explains the CRC speaker, Professor Michael Beetz. A wide range of possible applications are also conceivable in research, including carrying out experiments with hazardous substances.
Procejt Leader LogDynamics: Prof. Michael Beetz PhD
» www.ease-crc.org