Is AI Ready For Robots?

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NPR Announcer 0:00
Support for NPR comes from the Cy Sims Foundation, since 1985, supporting advances in science, education, and the arts towards a fairer, more just, and civil society. More information is available at cysimsfoundation.org. You're listening to Shortwave from NPR.
Regina Barber 0:21
Hey, short wavers. Regina Barber here. It seems like artificial intelligence is everywhere in our virtual lives. It's in our search results, our phones. It's trying to read my emails. But NPR science correspondent Jeff Brunfield has noticed that AI isn't just showing up online anymore. It's starting to creep into reality.
Geoff Brumfiel 0:39
Yep. I don't know if you tuned in for Tesla's big marketing event last year, Regina. No. But AI was there.
Unidentified Speaker (Brief Interjection) 0:47
Speaking of robots...
Geoff Brumfiel 0:51
Tesla is obviously a car company, but Elon Musk, Tesla's CEO, made a big part of the event about a humanoid robot powered by AI and called Optimus.
Unidentified Speaker (Brief Interjection) 1:01
The software, the AI inference computer, it all actually applies to a humanoid robot.
Geoff Brumfiel 1:09
And Google just unveiled another humanoid robot that operates using AI.
We're bringing Gemini 2.0's intelligence to general-purpose robotic agents in the physical world.
Regina Barber 1:21
OK, Jeff, but even before AI came along, people and companies have been making like big claims about robots.
Geoff Brumfiel 1:27
They have. They have. And the robots, as I'm sure you know, Gina, have always disappointed compared to the vision.
Regina Barber 1:32
Yeah, that's true.
Geoff Brumfiel 1:33
And that's why I set out to understand the truth about AI and robotics. The truth. And I think I kind of found it in Ebola trail mix.
Regina Barber 1:45
Today on the show, what happens when artificial intelligence moves out of the chat and into the real world?
Geoff Brumfiel 1:51
We're looking at how AI could maybe revolutionize robotics.
Regina Barber 1:55
You're listening to Shortwave, the science podcast from NPR.
NPR Announcer 2:07
Support for NPR comes from the Cy Sims Foundation. Since 1985, supporting advances in science, education, and the arts towards a fairer, more just, and civil society. More information is available at cysimsfoundation.org.
Regina Barber 2:23
Okay, so Jeff, you were interested in finding out more about how AI works in robots. Where did you start?
Geoff Brumfiel 2:29
Well, I didn't go to Tesla or Google, but I did drive right by them on my way to Stanford University.
Chelsea Finn 2:34
Okay.
Geoff Brumfiel 2:35
And specifically the IRIS laboratory, which stands for Intelligence Through Robotic Interaction at Scale. I got a tour from a graduate student named Moojin Kim. Moojin works on a new kind of robot powered by AI similar to the AI used in chatbots.
Moojin Kim 2:51
It's one step in the direction of like ChatGPT for robotics, but still a lot of work to do.
Regina Barber 2:58
All right.
Moojin Kim 2:58
Well, you want to show me what I can do? Yeah, for sure.
Regina Barber 3:01
So, Jeff, what did the robot look like?
Geoff Brumfiel 3:03
Well, this wasn't some humanoid robot that the big tech companies are rolling out. It's just a pair of mechanical arms with pinchers.
Chelsea Finn 3:11
Okay.
Geoff Brumfiel 3:12
But what made it interesting was that it's powered by an AI model called OpenVLA. So first, we should probably just say quickly, you know, a regular robot must be very, very carefully programmed. An engineer has to write it detailed instructions for every task you want it to perform.
Regina Barber 3:28
Yeah, and AI is supposed to change that.
Geoff Brumfiel 3:30
Exactly. And that's what's going on here. This robot is powered by a teachable AI neural network. The neural network operates kind of how scientists think the human brain might work. Basically, there are these mathematical nodes in the network that have billions of connections to each other in a way similar to how neurons in the brain are connected together. And so when you go to program this sort of thing, it's simply about reinforcing the connections that matter between the nodes and weakening the other ones that don't. So in practice, this means Moojin can just teach OpenVLA a task by showing it.
Moojin Kim 4:05
So basically, whatever task you want to do, you just keep doing it over and over, maybe like 50 times or 100 times.
Geoff Brumfiel 4:12
The robot's AI neural network becomes tuned to that task and then it can do it by itself.
Regina Barber 4:17
Yeah, it makes me think of this like smiling robot story we did and that robot just watched like a lot of videos of people smiling. Then it learned how to do it.

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