Here’s how we could finally build humanoid robots that do all our domestic chores
By Erico Guizzo & Randi Klett
Published 11/11/2024
This is a non-interactive version of our story “Where’s My Robot?” — it includes all text, images, and videos (note that videos have no audio).
This story is part of IEEE Spectrum’s “Reinventing Invention” special issue.
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We Were Promised Rosie
Robots are getting more and more advanced.
From crawling baby bots to agile humanoids.
Some people worry robots could maybe get a little too advanced…
…and try to take over like in sci-fi movies.
The reality is robots still need a lot of improvement.
Before they can rise up, robots need to stop falling down.
So forget the evil robots.
Let’s talk about the helper robots we’ve always dreamed of.
Robots to help us with chores around the house.
Cleaning. Cooking. Organizing.
Even keeping us company.
These robots would give us something of immense value: more free time.
They could also help aging individuals remain independent.
We were promised Rosie.
Instead we got Roomba.
So the question is…
Where’s My Robot?
The Robot Race Is On
First the good news: It’s an exciting time for robotics right now.
New humanoids are jumping into action at a pace never before seen.
One of the most famous is Atlas, the acrobatic humanoid from Boston Dynamics.
The newest version of Atlas can contort its body in ways you most definitely can’t.
But Atlas has company.
Tesla and a host of startups are building impressive new humanoids.
The robot race is on. Check out some of the contenders.
Who’s Going to Build the Best Robot?
Apollo
Apptronik
Atlas
Boston Dynamics
Digit
Agility Robotics
Figure 02
Figure
GR-1
Fourier Intelligence
H1
Unitree Robotics
Neo
1X Technologies
Optimus
Tesla
Phoenix
Sanctuary AI
New Humanoids, New Skills
These robots are learning a lot of new skills.
They work hard.
They play hard.
And they are constantly trying to outdo each other.
Adding fuel to this robot explosion is AI.
Some believe that the current artificial intelligence boom will propel robots too.
AI could finally solve the hardest problems in robotics—such as performing complex and dexterous tasks.
These problems have largely kept humanoids confined to labs as experiments.
The recent wave of AI breakthroughs gave us ChatGPT.
Next, will it teach robots how to make you a sandwich?
Now for the bad news about this fresh batch of bots.
They’re not headed straight for your home.
They’ll first be found in factories and warehouses.
That’s because they are best suited for dirty, dull, and dangerous jobs—jobs you find in an industrial setting, not in our homes.
These robots are still too complex, too costly, and too unsafe for home use.
You definitely don’t want one of them staggering in your kitchen.
So in an era of promising breakthroughs in…autonomous vehicles, planetary exploration, quantum computers, reusable rockets, fusion reactors, drug discovery, and more…
What makes it so hard to invent a robot butler?
Why, so glad you asked!
Time for some robot history.
Robot History: Roomba and Asimo
Roomba first hit stores more than 20 years ago.
Now it roams in millions of homes around the world.
Take a minute to appreciate what an incredible feat of engineering that is.
You see, a home is a treacherous place if you’re a lowly little disk on the floor.
Thick rugs. Power cords. Staircases.
Not to mention…pets.
Everywhere Roomba goes there’s a trap lurking.
And it’s just sucking dirt.
Now picture a humanoid stepping into your kitchen to make you a snack.
The number of hazards just ballooned by orders of magnitude.
Uneven surfaces, slippery objects, hard-to-reach spaces, clutter—one small mishap and you end up with a big mess and no food.
Humanoid robots are indeed maddeningly complex machines.
Just look at Asimo, one of the most ambitious humanoid projects ever.
Japanese automaker Honda developed the first prototypes in the 1980s.
It took decades and vast sums to turn Asimo into a skilled humanoid.
The Evolution of Asimo
Why Build Robots That Resemble People?
In a 2011 demo, Asimo danced, walked over uneven terrain, and ran in circles.
It also climbed stairs, hopped on one foot, and kicked a ball.
But the flawless performance belied a more underwhelming reality:
Asimo’s actions needed to be pre-choreographed.
Any changes in the environment risked throwing off its routine.
In 2022, Honda forced the robot into retirement.
Poor Asimo wasn’t ready for the real world.
If building a humanoid is so much trouble, it’s fair to ask: Why make robots that resemble people anyway?
Proponents say such robots can operate in human spaces and use human tools.
That means we don’t have to remake our world to suit them.
It also means robots can work alongside and collaborate with us.
That’s all well and good, but it doesn’t answer another question: Why are some humanoids designed to look exactly like humans?
That’s creepy!
It turns out creepy robots are a fascinating topic.
Surely you want to know more about it!
Buckle up for a detour into the Uncanny Valley.
What Is the Uncanny Valley?
You are now entering the Uncanny Valley.
The creepy feeling you may get when you see a really humanlike robot—that’s the Uncanny Valley phenomenon in action.
It was proposed by Japanese roboticist Masahiro Mori in 1970.
The Uncanny Valley Chart
Mori-san conceived this clever chart to convey his idea.
Let’s look first at an industrial robot arm.
Your reaction to its appearance is likely neither positive nor negative.
Now consider a cute humanoid robot.
It can elicit a more positive response because it begins to resemble people.
A human being produces a maximum positive response according to Mori’s chart.
That’s because evolution made humans really good at recognizing other humans.
But our reaction plunges into negative territory if we see a creepy robot.
If it’s not perfectly lifelike, it may resemble a human corpse or a zombie!
That creepy zone is the Uncanny Valley.
The Uncanny Valley is a conjecture, not scientific fact.
Still, roboticists find it helpful when exploring humanoid design.
Some think that ultrarealistic androids are best for interacting with people.
Others avoid lifelike robots—they don’t want to risk “falling” into the valley.
All right, let’s get out of here.
Robot Hardware and Robot Software Challenges
Let’s get back to the challenges of building humanoids.
It comes down to two things: hardware and software.
First, consider the hardware a typical humanoid requires.
Sensors like cameras and 3D vision modules survey the robot’s environment.
Computers collect the sensor inputs and determine what the robot should do.
Batteries supply power so the robot operates without a clumsy cord.
Actuators—electrical motors—make the robot move.
The first three—sensors, computers, and batteries—are capable enough.
They keep getting better thanks to Moore’s Law and new battery innovations.
But actuators have lagged behind.
No fundamental breakthroughs have improved them on a similar scale.
The most advanced actuators consist of a DC motor coupled to a gearbox.
Inside there are also sensors and power electronics.
These actuators are powerful and accurate, thanks to precision-machined parts.
The challenge is that they are complex, bulky, and expensive.
And a humanoid may require 20 or more of them.
Some robot makers are trying to up their actuator game.
They are making compact actuators that are strong and robust against, er, impacts.
Others are testing direct-drive-type motors, which do away with gears.
Or cable-driven actuators, which are lighter and safer.
Other alternatives may emerge by seeking novel bioinspired designs.
One way or another, robot actuators are in need of a radical reinvention.
Next, let’s look at the software side of things.
Vision, navigation, control—so many components need to work together.
Consider, in particular, robot learning algorithms.
The goal is learning a task—like opening a door—under varying conditions.
But what if your robot encounters a new type of door and it doesn’t know what to do?
We need robots to learn like we do—humans adapt, correct, and improvise.
Enter AI.
Robotics and artificial intelligence have long evolved hand in hand.
So it’s no surprise that the rise of generative AI has electrified the robotics industry.
The hope is that AI could finally unlock the power of robot learning.
As with most AI systems, the first step is amassing lots of training data.
One method involves humans teleoperating robots to perform various tasks.
Like making a sandwich.
Next you use the data to train an AI model, and then test it on a real robot.
Training can also happen in a virtual environment with simulated robots.
It’s unclear if AI can finally “solve” robot learning.
For one thing, training robots one task at a time is a very slow process.
One way to speed things up is to develop a general-purpose AI model for robots.
A single model would let you perform a variety of tasks on a variety of robots.
Getting this data and training the models will take a lot of time and money.
But if it works, AI robots may finally be ready for the real world.
Are the Robots Coming or What?
Where does that leave us? Are the robots coming or what?
We don’t know for sure how robots will evolve.
So let’s explore three possible futures.
Each assumes a different level of technological progress.
And each imagines how robots may become part of our lives.
FUTURE 1: Small advances in robot hardware and software
Actuators are still chunky and pricey, and robot learning algorithms remain stuck.
Sorry, don’t expect Rosie to show up at your home.
But you can get a little robot buddy like this one from Amazon.
It roams around your house taking photos of your pet.
As for humanoids, they find employment in factories and warehouses.
Except for Atlas, who becomes the first YouTube robo-influencer.
FUTURE 2: Moderate advances in robot hardware and software
New designs improve actuators, and AI makes robot learning more practical.
We’re moving out of lab-demo territory, and robots can finally do useful tasks.
These aren’t the general-purpose humanoids from the movies, though.
These handy bots are known as mobile manipulators.
They do your laundry and clean your kitchen.
They can even take care of your pets for you.
What more would you want? Pfft, a sandwich?!
And the humanoids? They’re still toiling in factories and warehouses.
FUTURE 3: Massive advances in robot hardware and software
Big breakthroughs boost actuation and robot learning beyond expectations.
At last the future we’ve been waiting for.
The first generation of robot helpers is now ready for our homes.
Yikes, these droids are pricey! You need a robot lease and robot insurance.
(Who knew robots would be just like cars!)
But what can we say?
Our new AI robots are the best. They do the chores. They take care of things.
Sit back and relax while Rosie makes you a sandwich.