Current AutomationML related projects as well as completed projects are listed on this page.
Please notice that this is not a complete list of all projects. But it will be continuously extended.

current projects

ADEX ‐ AutomationDataEXchange

  • Type: ZIM -Network "Assistenz in der Logistik" (The Central Innovation Program SME = Zentrales Innovationsprogramm Mittelstand – ZIM / Assistance in Logistics) project, funded by the Federal Ministry of Economics and Energy (Bundesministerium für Wirtschaft und Energie, project executing organization VDI/VDE Innovation + Technik GmbH)
  • Description: The aim of the R&D cooperation project "ADEX ‐ AutomationDataEXchange" is the development of digital planning methods and planning tools for a continuous product and production design process in logistics and manufacturing fields. The realization of the development is done by the tarakos GmbH in cooperation with the Institute of Logistics and Material Flow Technology at the Otto‐von‐Guericke University of Magdeburg (research facility).
  • Role of AutomationML: Integrated data exchange format for the description of material handling components.
  • Duration: 05/2016 - 04/2018
  • Associated partners (AutomationML):
    • tarakos GmbH
    • Otto-von-Guericke-University Magdeburg
  • Web page: Offical web page is not existent yet, but some information can be found here:

AutomationML 4.0

  • Type: Transfer von Forschungs- und Entwicklungsergebnissen (FuE) durch Normung und Standardisierung (BMWi)
  • Description: The scope of this project is the support of the national and international standardization of the control related part of the AutomationML data format “. To achieve this goal five objectives shall be realized:
    • Extraction and matching of requirements for the data exchange within the control engineering of production systems from the group of potential standard users
    • Support of the standardization of part 4 - “Logic Descriptions” of the AutomationML data format as part of the IEC 62714 series, including user requirements
    • Development and standardization of an application profile for the description of configurations of distributed, Industrie 4.0 compliant controllers on the basis of part 4 of AutomationML standard IEC 62714
    • Coordination of the common work with other concerned standardization organizations
    • Promotion of the standardization results towards potential users and professional / technical support of the application
  • Role of AutomationML: Control related parts of AutomationML shall be standardized
  • Duration: 01.01.2016 – 30.06.2017
  • Associated partners (AutomationML):
    • inpro Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbH Berlin
    • Otto-von-Guericke-University Magdeburg - IAF
  • Web page:


  • Type: BMBF, ITEA Initiative
  • Description: ENTOC focuses on the engineering of smart factories as they are established in different domains like a highly automated body shop in truck manufacturing, partly automated final assembly in car production or machine building. Due to a dramatic increase of the complexity of production facilities, the efficiency of the engineering tool chain has to be improved by at least 20%, which can be facilitated by using smart tools. The main goals of the project are to develop standardised modelling strategies and to optimise the engineering tool chains used for complex production plants.
  • Role of AutomationML: AutomationML is used for the following purposes:
    • Definition of requirements for production equipment
    • Base for packages of engineering data
    • Base for behavior description of mechatronic components (in combination with MathML, PLCopen XML and the FMI technology)
  • Duration: 09/2016 - 08/2019
  • Associated partners (AutomationML):
    • Daimler AG
    • EDAG Production Solutions GmbH & Co. KG
    • EKS InTec GmbH
    • Festo Ag & Co. KG
    • Institut für Automation und Kommunikation e.V.
    • tarakos GmbH
  • Web page:


  • Type: EU research project
  • Description: MAYA is funded by European Union’s Horizon 2020 research and innovation program. Together with industry such as Automation ML partners like Siemens and Volkswagen AG as well as several R&D institutions the project aims at developing simulation methodologies and multidisciplinary tools for the design, engineering and management of CPS-based Factories, in order to strategically support production‐related activities during all the phases of the factory lifecycle. The project pursues the following, high-level objectives: Along the factory lifecycle, the physical and digital factory coexist and are seamlessly synchronized. Data and models generated in each phase are enriched and smoothly used as needed by multidisciplinary simulation tools.
  • Role of AutomationML: MAYA will support this digital continuity by developing a standardized, open semantic meta-model capable to fully describe the properties and functional characteristics of the CPS simulations models. It will be able to provide a cross‐tool representation of the different specific simulation models defining both static and behavioral information. The semantic meta-model will build upon existing open exchange data formats and information models and set up a fundamental structure for a digital description of CPS for technology provider (device vendors) and its later use by different stakeholders. AutomationML will be an important base and enabler for that.
  • Duration: 3 years (10/2015-10/2018)
  • Associated partners (AutomationML):
    • Siemens AG
    • Volkswagen AG
  • Web page:


  • Type: BMWi
  • Description: ReApp is a research project within the German technology programm "Autonomik für Industrie 4.0". The goal of this project is the intelligent robot programming which simplifies the development and reduces economic investment, so that not only the big companies but also the small and medium ones can bring robots into their production. ReApp will provide a toolchain for all participants in the development (including algorithm developer, application developer, system integrator), which utilizes semantic descriptions and is capable to automatically build the skeleton of the programm or even directly generate it. Graphic user interface will help the developer to complete the programm as a executable file and provides functionalities to test it or simulate on virutal or real hardware.
  • Role of AutomationML: Hardware description with Geometry and Kinematic as Input of the whole tool chain. There will be a semantic-extension of AML ultilizing an Ontology in the domain of Robotics which enables intelligent plug&produce components.
  • Duration: 01/2014 - 04/2017
  • Associated partners (AutomationML):
    • Karlsruhe Institute of Technology (KIT) - (Institute IAR-IPR)
    • Fraunhofer IPA
  • Web page:

Secure Plug & Work

  • Type: BMBF project ("Bundesministerium für Bildung und Forschung" in Germany)
  • Description: The project "Secure Plug and Work" is a research project funded by the Federal Ministry of education and research. It deals with vertically and horizontally integrated and secure solutions for plug & work in production. New components or machines or any reconfiguration of existing components trigger and cause changes within the configuration of the corresponding software systems - from field to MES level. These changes can be effected without or with minimal manual effort.
  • Role of AutomationML: Integrated data exchange technology for description of production components.
  • Duration: 2013 - April 2017
  • Associated partners (AutomationML):
    • Fraunhofer IOSB (Department ILT and INA)
      IOSB acts as project coordinator and works on plug and work for IT systems and communication components.
  • Web page:

completed projects


  • Type: ZIM (The Central Innovation Program SME = Zentrales Innovationsprogramm Mittelstand – ZIM) project, funded by the federal ministry of economics and energy (FKZ: ZIM KF2659703SS4)
  • Description: The scope of the research project „generic, protocol-independent configuration tool for industrial communication networks“ (GecKo) is allocated within the problem range of communication within industrial facilities. The aim of the project is the creation of a novel methodology and necessary tools to support or enable protocol- and architecture crossing design, configuration and documentation of arbitrary industrial communications networks. Especially SMEs will be enabled to meet high individualization of kind and characteristics of technologies within the use cases of their customers. Therefore, methodologies and data models for the engineering of industrial communication structures are analyzed, a methodology is developed for integration and consistent use of these data, suitable specifically built tool components are integrated within one tool, and their applicability is evaluated.
  • Role of AutomationML: The concepts described in Whitepaper Part 5 (Modelling of communication systems) are applied. The libraries-concept is used for the generic communication model. AutomationML is used as the internal data format for the prototypical implementation.
  • Duration: 01.01.2015 - 30.06.2016
  • Associated partners (AutomationML):
    • Otto-von-Guericke-University Magdeburg
  • Web page:


  • Type: BMBF, ITEA-Initiative
  • Description: The high level of automation within production systems put high demands on the engineering of those, which can only kept under control with supporting software tools. The research project AVANTI (Test methodology for virtual commissioning based on behaviour simulation of production systems) is about improving engineering data of production systems along the value chain - in the field of automotive engineering. Based on supply components detailed behaviour descriptions are created, which first of all contain physical properties besides the logical behaviour. With this information test cases can be generated automatically and thereby the component manufacturer can document his process of testing. Hence, the machine builder uses the behaviour description as well as the test cases for his assembly and for the validation of the machine. Additionally, it increases the foundation of trust.
  • Role of AutomationML: AutomationML will be considered as exchange format of the behaviour description of automation components.
  • Duration: September 2013 to June 2016
  • Associated partners (AutomationML):
    • Daimler AG
    • ifak Magdeburg e.V.
    • Rücker EKS GmbH
    • tarakos GmbH
  • Web page:


  • Type: ZIM-BMWi project. The Central Innovation Program SME (Zentrales Innovationsprogramm Mittelstand – ZIM), funded by the federal ministry of economics and energy (FKZ: ZIM KF2074712KM2)
  • Description: Plant engineering is a creative process involving many engineers and their knowledge. Today, engineering is often done manually which leads to high costs, a lack of flexibility and which is error-prone. Goal of the development project of GEBHARDT Fördertechnik GmbH, cjt Systemsoftware AG, Fraunhofer IOSB, and KIT/IFL is the development of standardized, flexible and adaptive transport modules including an automation framework for fast, low-cost engineering, monitoring and control of plants, especially transport lines in intralogistics. This shall realize the principle of plug & control for flexible transport equipment (PCFF).
  • Role of AutomationML: Production system components and their geometry and communication properties are described with AutomationML.
  • Duration: 2013 - 2015
  • Associated partners (AutomationML):
    • Fraunhofer IOSB (Department ILT)
      IOSB acts as a data integrator and MES supplier
  • Web page:


  • Type: EU project
  • Description: SkillPro is a research project funded by the Framework Program 7 of the European Commission. The objective of SkillPro is to bring the vision of a smart reconfigurable manufacturing system into application. It considers a modern production system as a combination and collaboration of cyber-physical assets that offer different skills. SkillPro provides an extension of the Plug-and-Produce paradigm using knowledge about the skills of the diverse automation system components and about their composition and cooperation and is based on the open standard of AutomationML.
  • Role of AutomationML: Capabilities of production system components are described with AutomationML.
  • Duration: 2012 – 2015
  • Associated partners (AutomationML):
    • Fraunhofer IOSB (Institute ILT)
      IOSB acts as a central integration platform as a MES supplier.
    • Karlsruhe Institute of Technology (KIT) - (Institute IPR und IMI)
      KIT is coordinator and develops a demonstrator.
  • Web page:

EfA (Design Methods for Automation Systems with Model Integration and Automatic Variation Validation)

  • Type: BMBF project (“Bundesministerium für Bildung und Forschung” in Germany) and coordinated by the project management VDI/VDE +Technik GmbH
  • Description: Nowadays the situation on the german market forces an extensive processes automation. The increasing complexity of automation systems requires in the future precise, testable specifications. Inconsistent requirements for automation systems are responsible for significant delays in the commissioning and production. Nowadays, these requirements are often captured in a textual, not in a standardized formal form and can’t be used for computer-aided analyses or automatic system design.
    The goal of the project EfA (Design Methods for Automation Systems with Model Integration and Automatic Variation Validation)is to develop methods, tools and solutions in order to the explicitly acquire and monitor requirements and to validate variants of control applications. The project partners will use formal modeling of requirements, model integration, variation modeling and evaluation in order to achieve the following objectives in the project:
    • reducing the design and commissioning costs during automation systems development
    • reducing the development time
    • enhancing the quality of automation solutions.
  • Role of AutomationML: AutomationML is used as data exchange format for requirements to automation systems.
  • Duration: 01.09.2012 - 31.08.2015
  • Associated partners (AutomationML):
    • Institut Industrial IT (inIT)
    • Fraunhofer IOSB INA
    • inpro
    • Lenze Automation GmbH
  • Web page: EfA web page


  • Type: BMBF project ("Bundesministerium für Bildung und Forschung" in Germany)
  • Description: Conexing is a tool for discipline crossing planning and product related virtual optimization of automated production systems. All experts which are involved in the engineering process will be brought together discipline crossing and corporate spanning within the conexing infrastructure. From conception phase to virtual product validation a common working environment will be created with an access and data secure infrastructure.
  • Role of AutomationML: AutomationML is used as data exchange format. Smart components are mapped by means of AutomationML.
  • Duration: 01.03.2012 - 31.08.2015
  • Associated partners (AutomationML):
    • Daimler AG
    • Institute of Production Systems (IPS), TU Dortmund
    • ABB Automation GmbH (Associated Partner)
  • Web page:


  • Type: ZIM (The Central Innovation Program SME = Zentrales Innovationsprogramm Mittelstand – ZIM) project, funded by the federal ministry of economics and energy (FKZ: ZIM KF2659702LF1)
  • Description: The "EVIE" project is concerned with processes and tools for the engineering of production systems focussing on virtual commisioning as part of digital factory concepts. The main goal is the development of an innovative tool for virtual commissioning. Therefore it is necessary to develop a model for the integration of data related to visualization with data of behaviour description furthermore methodologies for visualization and simulation of behaviour as well as a workflow model of its usage. A prototype based on available engineering tools will be created. This tool or toolkit especially enables SME to apply their specific tools more effective and in a broader range than before. Thus, they are primed to claim their specific skills to upscale their market position in comparison to other tools. The outcome enables project partners to acquire a technological leadership in the scope of virtual commisioning.
  • Role of AutomationML: exchange technology of the data model for tool integration
  • Duration: 01.03.2012 - 31.08.2013
  • Associated partners (AutomationML):
    • Otto-von-Guericke-University Magdeburg
    • tarakos GmbH
  • Web page:


  • Type: BMBF project ("Bundesministerium für Bildung und Forschung" in Germany)
  • Description: In the research project inITial, the partners have been investigating a key challenge in automation technology: The optimization of the construction and the operation of complex distributed production plants by means of information technology. In the Hightech.NRW project inITial, new approaches for modelling, simulation and diagnosis have been developed. Furthermore, a tight process integration is ensured using AutomationML as data exchange format.
  • Role of AutomationML: Within the inITial’s modelling editor, system models can be modelled, this includes a plant model, an automation model and Modelica-based behavioural models. The models can be then exported to AutomationML. In an early verification step, these system models can be simulated, e.g. as an offline simulation or as a real-time Hardware-in-the loop test. This allows for an early test of the control applications for complex production plants.
  • Duration: 01.01.2010 to 31.12.2012
  • Associated partners (AutomationML):
    • Institute Industrial IT (inIT)
    • ISI Automation
    • Phoenix Contact
    • Fraunhofer IOSB
  • Web page:


  • Type: Research project funded by Baden-Württemberg Stiftung gGmbH
  • Description: The concept for multi-user engineering includes an integrated data model, adequate assistance systems and an interactive engineering environment to support interpersonal and interdisciplinary work. To improve communication and planning on a common medium, Fraunhofer IOSB and KIT developed the Digital Engineering Table (DigET). Planners are able to make planning scenarios transparent and consistent at the DigET. Interaction with the DigET is designed intuitionally so that planners can fully concentrate on the planning object and interaction with IT tools takes a back seat. The DigET combines the integrated and standardized data exchange format AutomationML with assistance mechanisms and an interactive environment. The DigET facilitates cross-domain collaboration; electronic information exchange and change process are supported by the improved collaboration between the involved engineers.
  • Role of AutomationML: Capabilities of production system components are described with AutomationML.
  • Duration: 2010 to 2012
  • Associated partners (AutomationML):
    • Fraunhofer IOSB (Department ILT)
      IOSB acts as a data integrator and MES supplier
    • Industrial advisory board: ABB Research Center - Ladenburg, Daimler AG - Sindelfingen
  • Web page:


  • Type: ZIM (The Central Innovation Program SME = Zentrales Innovationsprogramm Mittelstand – ZIM) project, funded by the federal ministry of economics and energy (FKZ: ZIM KF2074702ED9)
  • Description: The project "Interoperable Semantic Data Fusion for automated generation of view-based process control visualization" (briefly: IDA) deals with the interoperability of process visualization as an interface between man and machine. The goal was to create a more efficient engineering process and to improve and simplify processes during the operation phase. Process visualization is therefore generated automatically out of existing information. It supports different views on the data. Existing data are interpreted and semantically linked. This reduces the manual and error prone effort of engineering and increases the quality of the results.
  • Role of AutomationML: Production system components and their geometry are described with AutomationML.
  • Duration: 2009 to 2011
  • Associated partners (AutomationML):
    • Fraunhofer IOSB (Department ILT)
      IOSB acts as a data integrator and MES supplier
  • Web page: