Ken Goldberg

When if you figure out that you have a machine, you can use it, but you have the human do the parts that we're good at and then let it do the parts it's good at. Together, you have a great system. And a dishwasher is a beautiful example. And the washing machine, they do all this, but we have to load it and unload it.

In a laundry aspect, it's also that you want your clothes to be folded at this precise time, right when they come out, because then they're at the perfect stage.

In a laundry aspect, it's also that you want your clothes to be folded at this precise time, right when they come out, because then they're at the perfect stage.

In a laundry aspect, it's also that you want your clothes to be folded at this precise time, right when they come out, because then they're at the perfect stage.

No wrinkles. And if you do it too soon, they're kind of soggy. If they're too late, they get all wrinkled. So having a machine to do that would be quite good. And there's some really interesting new results that just came out about this. But we've been working on it too. And one of the ideas is you fling the clothes up and you use air to help smooth them out.

No wrinkles. And if you do it too soon, they're kind of soggy. If they're too late, they get all wrinkled. So having a machine to do that would be quite good. And there's some really interesting new results that just came out about this. But we've been working on it too. And one of the ideas is you fling the clothes up and you use air to help smooth them out.

No wrinkles. And if you do it too soon, they're kind of soggy. If they're too late, they get all wrinkled. So having a machine to do that would be quite good. And there's some really interesting new results that just came out about this. But we've been working on it too. And one of the ideas is you fling the clothes up and you use air to help smooth them out.

Like humans do that all the time, right? You snap, you know. Yeah. That has only been really done in robotics in the last five years.

Like humans do that all the time, right? You snap, you know. Yeah. That has only been really done in robotics in the last five years.

Like humans do that all the time, right? You snap, you know. Yeah. That has only been really done in robotics in the last five years.

So I'm super optimistic. I love working on this topic. And I feel like we have a lot more work to do. So that's also encouraging. I don't worry that it fails. I actually love the times when it does succeed. That's super rewarding, knowing how hard it is. You're like a fan of hockey instead of basketball.

So I'm super optimistic. I love working on this topic. And I feel like we have a lot more work to do. So that's also encouraging. I don't worry that it fails. I actually love the times when it does succeed. That's super rewarding, knowing how hard it is. You're like a fan of hockey instead of basketball.

So I'm super optimistic. I love working on this topic. And I feel like we have a lot more work to do. So that's also encouraging. I don't worry that it fails. I actually love the times when it does succeed. That's super rewarding, knowing how hard it is. You're like a fan of hockey instead of basketball.

But when I get it, boy, it's... Oh, that's interesting. I never thought of it that way. Yeah, because... In grasping, we've actually made some good progress just in picking up objects. And that was the breakthrough. So coming back to this timeline, so in 2012, there was this breakthrough in vision.

But when I get it, boy, it's... Oh, that's interesting. I never thought of it that way. Yeah, because... In grasping, we've actually made some good progress just in picking up objects. And that was the breakthrough. So coming back to this timeline, so in 2012, there was this breakthrough in vision.

But when I get it, boy, it's... Oh, that's interesting. I never thought of it that way. Yeah, because... In grasping, we've actually made some good progress just in picking up objects. And that was the breakthrough. So coming back to this timeline, so in 2012, there was this breakthrough in vision.

And suddenly deep learning, this new way of building these very large networks, we're using lots of data and using GPUs, graphical processing units. It's basically a new kind of computer. It has this breakthrough where suddenly machines are able to recognize images and things in images. Like it'll say that's a book and that's a cup and that's a microphone. That's part of Fei-Fei Li's work.

And suddenly deep learning, this new way of building these very large networks, we're using lots of data and using GPUs, graphical processing units. It's basically a new kind of computer. It has this breakthrough where suddenly machines are able to recognize images and things in images. Like it'll say that's a book and that's a cup and that's a microphone. That's part of Fei-Fei Li's work.

And suddenly deep learning, this new way of building these very large networks, we're using lots of data and using GPUs, graphical processing units. It's basically a new kind of computer. It has this breakthrough where suddenly machines are able to recognize images and things in images. Like it'll say that's a book and that's a cup and that's a microphone. That's part of Fei-Fei Li's work.

Exactly. So Fei-Fei Li is actually at the center of this. She builds this data. So she plays a pivotal role. When all that gets put together, suddenly it's a revolution. And that's a big moment in robotics and history. We apply it to robotics. And so her system was called ImageNet. And so the system that we designed for grasping, we called DexNet. As an homage to her. Oh, that's great.