Training neural networks via data augmentation is undoubtedly a powerful way to improve the robustness of AI models for complex object detection, and it can be essential if the Festo Bionic Handling Assistant needs to recognize an infinite variety of objects in an unstructured warehouse. However, for such a specific demonstration as grasping a small red ball, its importance is much more conditional than necessary, like using a satellite navigation app to find the local grocery store you see from your window. Simplicity is often the best ally for well-defined tasks.