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Open calls

In addition to partnerships with individual companies, Flanders Make also sets up research projects through which multiple companies cooperate and search for a solution for a shared technological challenge. These projects create pre-competitive partnerships in which all partners have the same goal and go in search of a generic solution for a generic problem. Subsequently, the respective companies can use the final technological project output and translate it into concrete product or production innovations.

Companies can only benefit from boarding such moving train. By bringing together the knowledge and expertise of our researchers and other partners, we can realise a solution faster. The following Open Calls are projects that have already been prepared and to which companies that face a similar challenge can still cooperate. There are three different types of projects:

  • Strategic Basic Research (SBO), which builds knowledge and brings research closer to the market. Companies in the user group follow up the project for four years and can test the first results on an application of their own. These companies help to create a hotbed for the technology of tomorrow.
  • Industrial Research (ICON or interdisciplinary collaborative research), in which we translate existing knowledge into concrete products or production at companies. These are two-year projects working on medium-term applications. Companies actively help to apply the results on an application of their own.
  • Technology Transfer Projects (TETRA stimulate knowledge transfer between higher education and companies. In these projects, we perform practice-oriented research and participating companies will be part of the user group for a period of two years. They co-determine the test cases and are among the first companies that will have access to the developed methodologies and tools.

You’ll find more information on the content of the project and the deadline for your application in the project description. If you are facing a problem to which these Open Calls cannot provide a solution, please feel free to contact us so that we can help you.

Model predictive control has many industrially relevant advantages but are not often used in mechatronic systems.
The project results are expected to lead to reduced variability and increased confidence in AM applications.
We will amongst other develop a digital twin of a machine and its calibration methods.
The ide is to include a semantic information in the map to make localization more robust to changes in the environment.
In the era of IoT, there is a need for an estimation of the remaining useful life of defected components.
Except for very simple cases with little variation, computer vision systems require an extensive training data set to perform well.
The programmation of robots still accounts for 35% of the total cost.
We propose a virtual twin approach based on the combination of virtual testen and real-life measurements.
Drive train modularity can reduce production costs, design costs and development time.
Methods to solve control problems with continuous decisions variables are mature, but there are sharp limitations when discrete variables are included.
Software architects need to reason about a set of operation modes at design time while the middleware has to be configured to allow these mode switches.
Manipulating bulky objects safely can be tricky.
Manufacturing companies are looking for ways to provide operators and technicians with adequate training.
Musculoskeletal disorders are the most important category of work-related diseases in many industrialized countries.
Beam shaping would enable to tailor the beam to the particular needs of the envisaged production process.
The project will deliver tools for automated context identification and deployment of context aware controllers.
We are looking to create formal methods and tools to support value engineering processes.
We will extend the existing CDS tooling by allowing to deal with uncertainty and by improving result visualisation.