Science Friday - What’s The Reality Behind The Humanoid Robot Hype?
Episode Date: December 17, 2025Videos of humanoid robots dancing, doing cartwheels, putting clothes in a washing machine, and serving drinks are all over social media. And tech CEOs are telling us to prepare for the forthcoming hum...anoid army that’s going to totally change our lives for the better.But what’s real? Where are we with this technology? Are these humanoids robots ready to take washing the dishes off our plates, or work beside us in warehouses?Tech journalist James Vincent became an expert on the subject when he toured humanoid robot factories and rubbed shoulders with robots themselves for a feature story he wrote for Harper’s Magazine. He joins Host Flora Lichtman with perspective on the hype.Guest: James Vincent is a journalist who’s written for The Verge and The Guardian, and author of the book Beyond Measure: The Hidden History of Measurement. Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.
Transcript
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Hey, I'm Flor Lickman, and you're listening to Science Friday.
That is the sound of a 150-pound robot breakdancing.
Pretty well, actually.
I'm sure you've seen these clips of humanoid robots dancing and doing cartwheels,
putting clothes in a washing machine, serving drinks.
And you've probably also seen headlines from tech CEOs telling us to prepare for the forthcoming
humanoid army that is going to make all of our lives totally different and better.
But what is real? Where are we with this technology? And are these humanoid robots really ready to take washing the dishes off our plates or to work beside us in warehouses?
Here with the perspective is tech journalist James Vincent, who became an expert on this subject. He toured humanoid robot factories, talked to CEOs and rubbed shoulders with humanoids for a feature story he wrote for Harper's Magazine. James, welcome to Science Friday.
Wonderful to be here. Thank you, Flora.
Okay, we've all seen these videos.
First of all, should we take them at face value?
No, I mean, the short answer there is definitely not, not all the time.
A lot of these videos that these companies are putting out, they are selectively edited or they're selectively presented.
And the great phrase that I heard used by NVIDIA's director of robotics was the blind gymnast phenomenon.
It refers to the fact that you can see a robot backflipping, you know, perfectly doing parkour, doing
all these fantastic moves, but in a sense, it doesn't know what it's doing. It can't adapt
the environment it's in. It's like a blind gymnast. So even when you see these humanoid robots
creating these sort of fantastic spectacles, that might be the limitation of their abilities.
The other thing is that the robot might also be teleoperated, which means that it might be
being controlled remotely by a human using a VR headset and a couple of controllers. So
So yes, there has been phenomenal progress in humanoid robotics, and we've definitely seen
breakthroughs that we haven't had for 10 years. But a lot of what these companies are doing is
trying to attract investment, and that means that they do show you only the highlights real.
It does feel like humanoid are having a moment. Why now?
I think the reason we're seeing all this progress now is there's a lot of hope being transferred
from the world of AI. They're calling it the chat GPT moment. The basic hope is that the
same trajectory that CHAPGPT took where you got this huge step up in quality and progress from
large language models will apply to robotics. Now, the idea there is that what helped large language
models really accelerate in the quality of their output was that they had a lot more data put into
them. They had a lot more training data and they had a lot more computing power. And that allowed
them to see a lot more patterns within the text they are analyzing. Robotics companies are hoping that
there'll be a similar effect happening with robots. And what they're doing to help with that is
they're trying to put robots in homes so they can collect lots of data about how these robots
might operate in novel or unforeseen environments. And then they can use that to try and have a chat
GPT moment. So they get all this data, they plug it all in, and suddenly the robot knows how to do the
dishes. Whether or not that's going to pan out exactly as they hope, we don't know yet.
Well, that's what I wanted to know, because it seems like hugely different in terms of the amount of training data you could collect from robots in the house versus all of text of all time, right?
Like, do we actually have the data sets at the scale that we need for physicality or for behavior?
I spoke to a lot of roboticists.
I spoke to a lot of engineers, some, you know, inside these companies, some outside them.
And it's one of those situations where there really is no clear answer.
Some people say, yeah, the mechanics of scale will work in robotics as they did in text.
They're just going to need more data and more sort of finely grained data involving things like, you know, touch sensor data, lots of GPS stuff, all of this extra additional information streams you'd expect for the physical world.
And some of them say, look, these things are just not transferable in the same way.
And they're really, really skeptical that there is going to be this chat.
You get companies like 1X saying, we're going to put a robot butler inside your home in the next
couple of years. Those robot butlers, they're going to be controlled by humans. Once those robots
are in there collecting the data, suddenly they'll be able to train AI to do the work for them,
but we really don't know if that's going to happen. What about robots in factories?
That's a little bit more of a reasonable proposition. So the thing with robots in homes is not only
is the form of work much more varied in terms of what the robots are being expected to do,
But there's a lot of issues to do with privacy and safety.
You know, these robots are not light.
You know, if one of them topples over, if one of them has a little bit of an unforeseen
technical error and it falls and, say, squashes a pet or something like this,
then there's going to be all sorts of issues and people are going to say,
we can't have these in the home.
The easier thing with putting robots in factories is the type of work that people are
currently training them to do is a little bit more constrained.
It's mostly about moving things from A to B.
It's doing logistics works, taking pallets and boxes of goods from one place to another.
So safety is less of an issue.
Privacy is less of an issue.
And the complexity of the work is less of an issue.
So if these humanoids take off anywhere first, it will be in warehouses.
I think people might wonder, why do you need a humanoid to do that work?
Like, why not just build a smarter, better conveyor belt?
Yeah, yeah.
Again, so this is one of these questions where there's lots of different answers to it.
The one that robotics companies themselves cite most often is the world as we know it,
the environment as we know it, is built for the human form factor, as it were.
You know, we have handles, we have levers, we have stairs.
These are built for hands, they're built for feet.
So rather than adopting the environment to the robot, we adopt the robot to the environment.
So let's make them human.
If you're working in a warehouse, you're doing things like you're squeezing down shelves
and tight passageways, and you need to lift heavy objects from low to high or high to low.
And actually, the human thought factor is pretty good for that because of the way our bodies work.
We're very good at balancing things out.
Now, the other argument, and I think this is persuasive, although a lot of companies wouldn't
necessarily agree to this, is that there is a mystique to building a human robot.
And that attracts people on a personal level.
And it attracts investment on a wider level as well.
The psychology of it.
The psychology. Yeah, I don't want to sort of psychoanalyze these people too much. I don't feel that's my place.
Twist my arm. I'll give it to go. There is definitely an attraction for these people to build something grand and mysterious.
And, you know, I spent some of this piece that I wrote for Harper's talking about the history, as it were, of recreating the human form.
And you can go back to ancient Egypt. And you can see how like the first, and we use this term very loosely, the first automaton's, were sort of statues of gods that could be operated by
string. And so there's something, I think, in the human psychology that wants us to recreate our
own form for the same reason that, you know, we imagine the gods in our form. We, you know,
we want us perpetuate our image throughout the universe. I think that's maybe a subconscious
part of why these companies and people are doing what they're doing. But I think also a human
form is just very impressive. The same reason your listeners may have seen videos at these robots and
gone, wow, gosh, what's going on there? That's quite scary.
An investor might see that and go, wow, gosh, I should put my money in that.
So I think that's another reason that they pick humans as a form factor.
Where are we in terms of deployment?
Are these robots out there in the world?
They're out there in very, very small numbers.
To give you some perspective on this, there's about half a million industrial robots
installed each year in factories across the globe.
And when I say industrial robots, I mean those big robotic arms you see in factories
He's lifting up cars, doing spot wells and paint jobs.
In the U.S., in terms of U.S. companies, I would say there's maybe a dozen or so humanoids in
deployment in different factories.
It's hard to get a good figure on this because the companies themselves don't talk about it that much.
But I would say it's on that order of magnitude, certainly.
But that's so different from what we're hearing from people like Elon Musk and with his optimist robot.
And the New York Times got a hold of documents from Amazon with a plan showing that they had a plan to
replace half a million warehouse staff with robots in the coming decade. I mean, we seem very far away
from that. I think in a lot of these reports, there's a lot of elision between different types of
robots and different types of deployments. So, for example, with the New York Times story about
Amazon, a lot of the robots, the vast, vast, vast majority of those robots are going to be
what are called AMR, autonomous mobile robots. These are the ones that look like little coffee
tables on wheels and they pick up shells and they move them around them. These are not human
noise. These are nothing near it. And those are robots that have been under development for decades
and they've taken a long time to get to be as useful as they are. Then when we talk about Tesla and
Optimus, Musk may make claims about how many robots he's using, but these are trial deployments.
These are not necessarily doing useful work. I spoke to one of the leaders in this space,
agility robotics and other called Apptronic. They are deploying.
That's very small number, as I say, you know, something like four or five at a time in these,
in these warehouses, in these factories. And they're not necessarily doing the most useful work.
Again, these companies are very opaque about it, and it's in their interest, and it's in the
interest of their clients to boast about how fantastically futuristic and advanced this technology
is, but it is still under trial. It's getting better. It's on its way, but these are not coming
in to take anyone's job this year, next year. It's going to be years out from that.
James, you rubbed shoulders with some of these humanoids.
What was it like to be in the room with them?
You know, what was your response to them?
I mean, my response is sort of gleeful.
Like, I get why people are excited about these.
You know, I'm a tech guy.
I'm a nerd.
I love looking at this stuff.
Looking at it up close is incredible to me.
I tell you what, okay, so one of the first times I saw one of these robots was
it was an Apollo unit by this company, Atchronic.
I was giving it a shove test.
Because you know, you see people kicking and shoving these robots to see how their stability
is like, well, I was like, I want to try this.
And in a way, it felt to me like a way of seeing what's real.
How do you see what's real in life?
You give it a kick.
You see if it kicks you back.
Okay.
Maybe.
I'm sure.
I tried to kick it.
And they said, no, you can't do that.
And they gave me like a broom handle with a bit of foam taped on the end.
They said, give it a poke with this instead.
And I thought, okay, we're doing this the scientific way.
I got it.
anyway, and I'm shoving it about and I'm trying to knock it down and I'm being very cautious with it.
And then they're like, no, no, you can give it a harder shove than that.
And I give it a real thrust right in the chest.
And it sort of staggers backwards and it just, it looks so human.
It loses its balance and then it swings its arms forward as if it's like reaching out to me for help.
And it regains its balance and then trots and stands right in front of me in the middle of the room.
And honestly, I'm just sort of awestruck by it.
I think, my God.
I mean, I've been writing about this stuff for years, and they have gotten so much better than they were before.
They're a long way off yet, but like, I just think it's fascinating stuff. I get why people are obsessed with it.
I get why people are so willing to believe that they're about to, you know, take over all the hard work from us because they really are fantastic creations.
James Vincent is a journalist and author, his piece in Harper's is titled, Kicking Robots, Humanoids and the Tech Industry Hype.
James, thanks for joining us today.
Thanks so much for having me.
This episode was produced by D. Peter Schmidt.
Thank you all for listening, and we'll see you next time.
I'm Flor Lichten.
