Using this data, the team used an innovative data processing strategy developed by the research team at TU Wien to enable the learning process.
Initially, the measurement data is statistically processed, and the results are used to train a neural network to recognize predefined movement elements, known as “motion primitives.”
This advanced learning algorithm then allows the robot to effectively clean the entire sink or other objects with complex surfaces after training, even after it has only been shown how to clean a single edge of the sink!