Well, for customers collecting data to train embodied AI models, what metrics does Orbeck use to quantify data quality? And how do those metrics translate into measurable improvements in downstream robot performance?

So, yeah, I think that's also an important topic.

So because when you capture a huge, tremendous amount of data, you need to tell how good the data is, right? So because for the users, now, I would say two or three years ago, the industry is still trying to push the hour of the data.

That means they just need a month of data because there's so limited data at that time.

And then you just, no matter it's good or bad, you just need to get as much data as you want and start to train your model.

But like a recent year, one or two year, the model itself has been trained with tremendous data.

It has been much improved.

So what design decisions in the robot-free data collection hardware platform were specifically made to ensure manufacturing consistency, repeatability, and