Robot training data is not just recordings of a task: the environment has to be randomised, or the policy only ever learns the one cable it was shown.

There is also a very important step called randomization. Is that you have to take the same environment and then randomize the conditions. So, the cable doesn't literally only, you know, uh bend this way. It can bend a different way or the box can have different sizes, colors, different lids, and all that.