© Fraunhofer IML - Leandra Terry

AI and Autonomous Systems

Our activities focus on the research and development of self-organizing systems. In this context, our competencies lie primarily in the areas of autonomy, decentralization, MAS (multi-agent systems) and the Internet of Things. We see it as our task to further advance the seal of quality "AI made in Germany" in its significance.

 

Autonomy is becoming an increasingly crucial technology for Germany as an industrial location. In addition to the performance of such systems, however, transparency and reliability are crucial for their successful use. That is why we are focusing our efforts on Artificial Intelligent precisely on this deployment. 

 

Machine Learning

Autonomous Agents

Digital Reality

DB Schenker - Digitalization

The DB Schenker Enterprise Lab for Logistics and Digitalization combines the research and development of Fraunhofer IML with the ground-breaking approach and international alignment of DB Schenker in order to create innovative logistics solutions and process innovations. With a permanent scientific team and its own space, work at the lab is to concentrate on topics such as the Internet of Things, services, Industry 4.0, big data and cloud computing.

LabSICK Enterprise Lab

 

Sick AG posted the first of its employees from the Logistics Automation business line to work at the Fraunhofer Institute for Material Flow and Logistics back in May 2013. The producer of sensors and sensor solutions embarked upon a cooperation agreement with Fraunhofer IML that was to begin with collaborative research at the Enterprise Labs before moving on to the implementation of joint projects with practical applications. 

 

 

In the EU research project "Flexible Assembly Manufacturing with Human-Robot Collaboration and Digital Twin Models" (FELICE), the Department of Robotics and Cognitive Systems, in collaboration with numerous European partners, is researching, among other things, the collaboration between humans and robots in the context of production. 

 

Silicon Economy

 

The Silicon Economy is a project of the Fraunhofer Institute for Material Flow and Logistics IML, supported by the German logistics industry. Together, we are developing an open-source infrastructure for the platform economy of the future.

 

ML2R

 

The Rhine-Ruhr Machine Learning Competence Center is one of four nationwide hubs for bringing the development of artificial intelligence and machine learning in Germany to a world-leading level.

 

L4MS

 

The L4MS project focuses on fully digitizing intralogistics automation in factories. The goal is for suppliers of automation and logistics solutions to be able to develop and be up to ten times faster and less expensive than current prices.

 

SWAP

 

The Fraunhofer lead project »Hierarchical Swarms as a Workload-Optimizable Production Architecture« (SWAP) aims to identify new technological concepts for shaping the production of the future.

 

ai arena

As part of the »ai arena« project, an AI laboratory for interdisciplinary collaborative research is being created at Fraunhofer IML. This AI lab represents a research environment with a high level of practical relevance in which essential issues of machine learning for robot swarms are researched. In addition, researchers as well as students also receive other access to the research center within the framework of a qualification concept.

 

In the EU research project "Flexible Assembly Manufacturing with Human-Robot Collaboration and Digital Twin Models" (FELICE), the Department of Robotics and Cognitive Systems, in collaboration with numerous European partners, is researching, among other things, the collaboration between humans and robots in the context of production. 

 

Innovationlab

This is where industry 4.0 solutions of the next generation are being developed to increase added value.

 

PACE Lab

By using high-resolution infrared cameras, several 100 objects can be detected and tracked in real time with an accuracy in the sub-millimeter range.

 

LivingLab Zellulare Transportsysteme

The aim is to make supply chains more energy-efficient and to be able to react more flexibly to unforeseen events.