Dataset for node optimization study using Learning-by-Printing

Image and parameter dataset for a Learning-by-Printing approach to optimize node connections in a 3D printed component. The method uses a parameterized path-planning algorithm that enables node corrections. The dataset contains images of nodes where the inner pattern and outer contour of a 3D-printing filament meet and should form a tight bond. The images were taken automatically using the fim-based RTDE control tool (see related works). The methodological approach is described in Bettermann et al. (2025) (https://mediatum.ub.tum.de/node?id=1781543).