M.Sc. Thesis: Trajectory Generation for Preforming of Fiber Reinforced Plastics

The production of Fiber-Reinforced Plastics (FRP) usually requires a lot of expert knowledge possessed by individual workers. However, a growing shortage of skilled workers prevails. In addition, high quality demands are placed on production. One possible solution for these requirements could be robot-based automation and human-robot collaboration within the process.

Your Task:

In this thesis, you will create a framework for the execution of the Preforming step of FRP production using a robot arm. The thesis contribution is two fold; first a data-driven model is needed to estimate the forces needed throughout the process. After that, you apply the model for trajectory generation given a 3D model of the product.


  • Willingness to learn
  • Solid Pyhton knowledge
  • Knowledge of machine learning
  • Experience with a machine learning framework is a plus
  • Knowledge of ROS and experience with one or more robot platforms are a plus

Further Information

If you are interested in it or have questions, please feel free to contact Mohamed Behery or Hannah Dammers (ITA) via email: