CMM - Center for Mobile Machinery



In the future, construction and agricultural machinery will operate autonomously and be networked with each other. New software solutions and automation processes will change the interaction between man and machine and lead to optimum utilization and increased productivity. In addition, efficient drive technology and a flexibly configurable design reduce costs for the user and protect the environment. This vision of the future takes into account the current challenges of a continuously increasing demand for food and the cultivation and cultivation of fields, the progressing urbanization and the associated construction measures, as well as the ever stricter legal framework with regard to environmental protection and workload. In order to master these challenges, a holistic view and optimisation of all actors and processes involved in value creation is required. The continuously advancing digitalisation and the fusion of the real and virtual worlds in so-called cyber-physical systems offer enormous potential for this, but will also require a fundamental adaptation of the entire industry. 

Research Goals

The goal of the Center for Mobile Machinery is to develop the key technologies required in the future for mobile machines and to test them holistically. The CMM focuses its research activities on the following topics:

Automation and Machine Learning

In industrial production, processes and machines are currently being progressively automated in order to increase productivity, ensure consistent quality and increase safety for people. In the construction and agricultural machinery industry, continuously changing, heavily polluted environments and diverse work tasks place additional demands on automation solutions that make it difficult to transfer familiar approaches. The CMM therefore investigates the possibilities of automating mobile machines. The applications range from partial automation of individual work tasks to scenarios with self-learning, autonomous machines.

Quantitative Reliability Assessment and Predictive Maintenance

Reliability and availability of mobile machines are important parameters that directly and significantly influence the planning reliability and costs of processes. For example, the use of predictive maintenance management can significantly increase the availability and thus the economic benefit of mobile machines. The CMM therefore deals with the development of methods for the quantitative assessment of the machine condition as well as for the model-based estimation of the remaining service life.

Disruptive Machine Concepts

In order to make the best possible use of the potential of modern technologies for digitization and automation, conventional machine concepts characterized by manual operation must be questioned. The CMM is therefore researching disruptive machine concepts that are largely oriented towards the efficient design of the construction process and at the same time offer improved automation with low sensor requirements.

Efficient Drive Technology

The CO2 problem as well as current and future legislation to reduce greenhouse gases require modern, efficient and environmentally compatible drive concepts. In order to meet all these requirements, the CMM combines the advantages of mechanical, hydraulic and electric drive solutions and develops innovative drive technologies. These include, for example, electric high-speed drives and electric or hydraulic power-split transmissions. The continuous research and further development of storage concepts also opens up new possibilities for hybridization.

Digital Transformation and Process Management

In order to fully exploit the economic potential of mobile working machines, efficient and flexible planning of the use of machines and of all the resources and actors required for this purpose is necessary in addition to high availability. The CMM therefore investigates possibilities for holistic process optimization through digital data acquisition and investigates the effects of digital transformation and automation on construction processes.

Professorships Involved

Faculty of Civil Engineering - Faculty 3

Univ.-Prof. Dr.-Ing. Rainard Osebold
Chair and Institute of Construction Business and Project Management

Faculty of Mechanical Engineering - Faculty 4

Institute of Automatic Control (IRT)
Head of Institute: Univ.-Prof. Dr.-Ing. Dirk Abel

Institute for Machine Elements and System Engineering (iMSE)
Head of Institute: Univ.-Prof. Dr.-Ing. Georg Jacobs

IMA & IfU Cybernetics Lab - Lehrstuhl für Informationsmanagement im Maschinenbau & Institut für Unternehmenskybernetik e.V.
Institutsleiter: Prof. Dr.-Ing. Dipl.-Inform. Tobias Meisen
IMA & IfU Cybernetics Lab

Institute for Fluid Power Drives and Controls (IFAS)
Head of Institute: Univ.-Prof. Dr.-Ing. Katharina Schmitz

Institute for Combustion Engines (VKA)
Head of Institute: Univ.-Prof. Dr.-Ing. Stefan Pischinger

Faculty of Electrical Engineering and Information Technology - Faculty 6

Institute of Converter Technology and Electric Powertrains (ISEA)
Head of Institute: Univ.-Prof. Dr. ir. Dr. h. c. Rik W. De Doncker

Chair of Electromagnetic Energy Conversion and Institute of Electrical Machines (IEM)
Head of Institute: Univ.-Prof. Dr.-Ing. Dr.h.c. dr hab. Kay Hameyer

Institute for Man-Machine Interaction
Univ.-Prof. Dr.-Ing. Jürgen Roßmann 
Institute for Man-Machine Interaction

Associated Institutes

Institute for Industrial Management (FIR)
Executive Director: apl. Prof. Dr.-Ing. Volker Stich

    Existing Infrastructure

    Aside from numerous existing component test benches at the partner institutes, a tension test bench for heavy drive trains was procured for the IME test center in 2010. This total system test bench is used as a highly variable test bench to investigate systems from the heavy duty sector, particularly construction and agricultural machines and wind energy plants.


    FutureSite - Center for the Development of the Construction Site of Tomorrow:

    • Development of a realistic reference construction site with manufacturer-independent, modular communication architecture and hardware as well as a process platform for data analysis and data visualization.

    Promachine Data:

    • Increased availability of mobile machines by forecasting the condition of the machine on the basis of globally available data

    Fundamentals of Physical Loss Modelling in Mobile Machines:

    • Development of a modular, multiphysical simulation platform for practice-oriented and development-accompanying efficiency evaluation of powertrain concepts


    Workships are conducted annually with participants from industry and university institutes involved. The goal of the workships is to develop future fields of research and roadmaps together and ensure the intensive exchange of knowledge and experiences between the university and industry.