The statement that data augmentation training is crucial for demonstrating the Festo Bionic Handling Assistant seems conditional; there is a 75% probability that it will have a significant impact, but it really depends on the context.
In a controlled demonstration environment, where the robot only picks up a small red ball, the direct usefulness of this augmentation is probably lower, maybe around 60%, because the model can be specialized.
However, if the robot had to manipulate a variety of unknown objects in a smart factory in Belgium, the probability that data augmentation is essential would rise to over 90% to ensure system robustness.