@@ -26,7 +26,7 @@ This project aims to explore the following aspects:
This project extends the previous work presented by `Schneider et al. 2024 <https://jan-niklas-schneider.pages.git-ce.rwth-aachen.de/LSTM-based_inverse_dynamics_learning_for_franka_emika_panda/>`_.
.. image:: ../diagrams/diagram.png
.. image:: ../diagram/diagram.png
Three instances of Franka Emika Robots are present within the RWTH Aachen University Cluster of Excellence Internet of Production.
To generate meaningful knowledge from data gather on these three instances--situtated at the Chair for Laser Technology (LLT), Chair for Machine Tools (WZL MT) and the Institute for Textile Technology (ITA)--automated data storage and management is required.
