Digital production and autonomous systems

The trend in today's digital production is increasingly moving towards autonomous and networked machines that can learn independently and decide how products are manufactured. Machines and robots are therefore becoming more and more capable of carrying out complex tasks independently, which can lead to more efficient processes and higher quality if used correctly. Humans must be optimally integrated as an inherent part of the entire production system in order to ensure high availability and responsiveness.

The trend in today's digital production is increasingly moving towards autonomous and networked machines that can learn independently and decide how products are manufactured. Machines and robots are therefore becoming more and more capable of carrying out complex tasks independently, which can lead to more efficient processes and higher quality if used correctly. Humans must be optimally integrated as an inherent part of the entire production system in order to ensure high availability and responsiveness.

The development and implementation of advanced technologies for the optimisation and automation of production processes is a focus of current research in the field of digital production and autonomous systems. Important research topics include the integration of artificial intelligence, machine learning and robotics in production facilities in order to create autonomous systems that can perform complex tasks independently.

Another focus is on the development of adaptive and flexible manufacturing systems in assembly that can adapt to changing requirements and environments. This includes the development of versatile production lines that can react flexibly and quickly to disruptions or changes. This avoids the waste of raw materials and enables shorter product launch times.

Stable communication systems and data-optimised processes are necessary to ensure the secure and resilient transmission of data between production participants. This is particularly relevant for mobile production machines in order to provide time-critical data on time and prevent production downtimes. In addition to the optimisation of data bandwidths and latencies, IT security also plays a decisive role in ensuring high availability.

An important area of research concerns the integration of people into the production system. As part of human-machine interaction, new interfaces and control methods are being developed to enable seamless collaboration between man and machine. The aim is to make the operation and monitoring of autonomous systems easier and safer.

Research projects

  • CRC 1153: Flexible process chain for the resource-efficient production of tailored forming components
    As part of the Collaborative Research Centre 1153, new design, joining, forming, post-processing and testing processes for the production of hybrid solid high-performance components were developed and implemented. The aim of this sub-project is to link these individual processes into an automated overall process in order to validate the functionality of the processes in a continuous process chain and to produce reproducible samples.
    Team: Sebastian Blankemeyer
    Year: 2023
    Funding: DFG
  • Digital planning and automated production of buildingintegrated photovoltaics (DIGI-PV)
    The goal of the DIGI-PV project is to reduce barriers to the large-scale use of PV technology in order to open up significantly more façade areas for energy use. For this purpose, automated processes and tools are being developed that enable planners, producers and users to implement efficient and cost-effective processes and support them along several phases of the product life cycle.
    Team: Sebastian Blankemeyer, Jessica Schönburg
    Year: 2023
    Funding: BMWK
  • IT security in the deployment of 5G in production ecosystems (5GProSec)
    The aim of the research project is to systematically identify and eliminate potential attack vectors and unintentional disruptions when using 5G, especially in production. The focus is on both the technical and non-technical aspects of attack vectors. The methods developed are intended to reduce barriers to the use of 5G in companies and dispel security concerns.
    Team: Henrik Lurz
    Year: 2023
    Funding: BSI
  • Assembly of photonic integrated circuits
    The Cluster of Excellence PhoenixD pursues the goal of integrating conventional and complex high-performance optics into intelligent, miniaturised and adaptive optical systems. In this context, match is researching novel concepts and processes for the micro-assembly of optical systems.
    Team: Niklas Terei
    Year: 2021
    Funding: DFG (PhoenixD)
  • TRR 277 Additive Manufacturing in Construction
    While productivity in the manufacturing industry increased linearly in most areas, this value has stagnated in the construction industry for about 50 years. The reason for this is the high manual effort required to create complex formwork elements. The aim of TRR 277 is to avoid this by using additive manufacturing processes. An interdisciplinary approach is being pursued, taking into account planning, production and assembly.
    Team: Lukas Lachmayer, Hauke Heeren
    Year: 2020
    Funding: DFG
  • PhoenixD
    The PhoenixD Cluster of Excellence brings together various specialist domains from optical design, optical simulation and optical production with the aim of developing intelligent, integrated and adaptive optical systems. In this project, match takes on precision assembly tasks and focuses more intensively on fully process-integrated component alignment via self-assembly and the development of innovative, self-optimising assembly concepts.
    Team: Martin Stucki, Rolf Wiemann, Niklas Terei, Lars Binnemann
    Year: 2019
    Funding: DFG
  • Autonomous Mobile Robotics
    Currently, the assembly of large products and systems requires the use of complex and bulky assembly equipment that can only be installed and operated at central production sites. The vision for the future is the use of a network of autonomous mobile robots that take over assembly or production directly at the target location. This solution requires coordinated cooperation between robots of different sizes.
    Team: Tobias Recker, Henrik Lurz
    Year: 2018

Institute of Assembly Technology and Robotics

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