Brian Gerkey

If I'm building rockets, I care tremendous amount about how the fluid dynamics look like inside the thruster cone as the fuel is being burned.

And I want to understand everything about that.

I can build a very detailed model of that.

And it's incredibly good and incredibly predictive.

Expanding that idea to cover the variety of interactions that a robot can have in the just physical world we find around us, that's a higher bar.

But I want to come back to something else you're asking where the gap is.

I want to.

So certainly on the training side, that's a there's some areas around like contact and manipulation where we can improve.

Frankly, I think one of the things that's missing is having the knowing what the right applications are for the robots.

I think as I can, you know, speaking as a roboticist, I think robots are awesome.

I just want to build robots all day.

So I've got this hammer, which is a robot, and I'd like to make it the best hammer ever.

Now, that's not the same as knowing what to hit with it.

And that's where I think a lot of the attention, which has pluses and minuses to robotics today, is much more about the technology push than it is about a pull from technology.

an application that is really going to make sense.

And by make sense, I mean, you know, you need to believe that you're going to be able to deploy a system that has the reliability and the cost so that, you know, a customer would actually pay for it.

You can maintain it in the field.

There are all these extra constraints.

And so what I like about working at this place where we are at Intrinsic and this software platform ecosystem model is we put these tools out there and then we...

it lowers the barrier to entry and brings many, many more people in who they might have the best ideas for what the applications are.