Support for LAist comes from
Local and national news, NPR, things to do, food recommendations and guides to Los Angeles, Orange County and the Inland Empire
Stay Connected
Listen

Share This

NPR News

The fastest ever laundry-folding robot is here. And it's likely still slower than you

Most robots have not generally been equipped for the task of folding clothes. But an international group of researchers say their new method could change that — or at least speed up the process. Their robot is seen here in multiple exposures.
Most robots have not generally been equipped for the task of folding clothes. But an international group of researchers say their new method could change that — or at least speed up the process. Their robot is seen here in multiple exposures.
(
Adam Lau
/
UC Berkeley
)

Congress has cut federal funding for public media — a $3.4 million loss for LAist. We count on readers like you to protect our nonprofit newsroom. Become a monthly member and sustain local journalism.

Updated October 22, 2022 at 9:46 AM ET

We've all faced it at one time or another: the looming pile of clean, crumpled laundry waiting hours (or days, hypothetically) to be put away.

There are plenty of machines that can wash and dry clothes. So why isn't there a way to similarly automate the dreaded folding process?

Researchers have looked into it over the years — and, as it turns out, robots just aren't good at folding laundry.

Support for LAist comes from

As NPR has reported, machines need clear rules in order to function, and it's hard for them to figure out what exactly is going on in those messy piles ("say, where the underwear stops and where the towel begins").

That's not to say that it's completely impossible. University of California, Berkeley professor Pieter Abbeel spent years teaching a robot how to fold a towel, eventually cutting that process down from 20 minutes to a whopping minute and a half.

And Silicon Valley-based company FoldiMate raised hopes and eyebrows when it showed off a prototype of its eponymous laundry-folding robot at the Consumer Electronics Show in early 2019. It said the machine could fold some 25 pieces of laundry — except for small items like socks and large items like sheets — in under five minutes, with an estimated price tag of $980.

It's unclear what happened to that company — its website is down and it hasn't tweeted since April 2020. Its sole competitor, a Japanese company with an AI-powered prototype, filed for bankruptcy.

In sum, most robots have not generally been equipped for the task. But an international group of researchers say their new method could change that — or at least speed up the process.

Two robotic arms are better than one

Researchers are calling the new method, SpeedFolding. It's a "reliable and efficient bimanual system" — meaning it involves two hands — that's able to smooth and fold a crumpled garment in record speed (for robots, that is).

Support for LAist comes from

SpeedFolding can fold 30 to 40 strewn-about garments per hour, compared to previous models that averaged three to six garments in that same time span, according to researchers. They say their robot can fold items in under two minutes, with a success rate of 93%.

"Real-world experiments show that the system is able to generalize to unseen garments of different color, shape, and stiffness," they add.

Only you know how long it takes to put your clean clothes away. But for comparison's sake, one dry cleaning company estimates it takes about 20 minutes to fold an average load of laundry.

The team of Yahav Avigal and Ken Goldberg of UC Berkeley and Lars Berscheid, Tamim Asfour and Torsten Kröger of Germany's Karlsruhe Institute of Technology, will be presenting their paper at a robotics conference in Kyoto this month.

They've also published their work — including videos and data sets — online. One minute-long video posted to YouTube shows the robot using the two pincers at the end of its arms to fold a T-shirt and a towel, a process that involves scanning the object, lifting up the object and putting it back down, flattening it out and making several precise folds.

Previous attempts at getting robots to fold these items mainly focused on single-arm manipulation or complex iterative algorithms that require a large number of interactions and therefore take longer to complete, the paper explains.

Support for LAist comes from

SpeedFolding takes a different approach. First, a novel neural network called BiManual Manipulation Network studied 4,300 human and machine-assisted actions in order to learn how to smooth and fold garments from a random configuration. That process can involve a number of defined movements including flinging, dragging, moving and "pick-and-place."

"Basically, the system needs to examine the initial state of the garment (using an overhead camera) and calculate where to grab it with its two arms to get the garment to the next desired step in the folding process," tech website Ars Technica explains.

Avigal, one of the robotics researchers, lays out the process in this Twitter thread:

It's still a long way from your laundry room

While researchers describe SpeedFolding as a significant improvement, it's not likely to hit the market anytime soon.

For one, Ars Technica tracked down a robot similar to the one they used and found that it retails for $58,000.

Support for LAist comes from

Plus researchers say there's more they want to explore, including "methods that can learn to manipulate a novel garment given a few demonstrations."

The paper does hint at potential future applications, noting for instance that garment folding has many uses in hospitals, homes and warehouses.

"Garment handling such as folding and packing are common tasks in textile manufacturing and logistics, industrial and household laundry, healthcare, and hospitality, where speed and efficiency are key factors," the researchers say.

That work is done mostly by humans for now, thanks to what researchers describe as "the complex configuration space as well as the highly non-linear dynamics of deformable objects."

But there's always hope that the future of folding will get even neater.

Copyright 2022 NPR. To see more, visit https://www.npr.org.

Corrected October 21, 2022 at 9:00 PM PDT
An earlier version of this story incorrectly said that Tamim Asfour and Torsten Kröger were affiliated with UC Berkeley. In fact, they are with Germany's Karlsruhe Institute of Technology.

As Editor-in-Chief of our newsroom, I’m extremely proud of the work our top-notch journalists are doing here at LAist. We’re doing more hard-hitting watchdog journalism than ever before — powerful reporting on the economy, elections, climate and the homelessness crisis that is making a difference in your lives. At the same time, it’s never been more difficult to maintain a paywall-free, independent news source that informs, inspires, and engages everyone.

Simply put, we cannot do this essential work without your help. Federal funding for public media has been clawed back by Congress and that means LAist has lost $3.4 million in federal funding over the next two years. So we’re asking for your help. LAist has been there for you and we’re asking you to be here for us.

We rely on donations from readers like you to stay independent, which keeps our nonprofit newsroom strong and accountable to you.

No matter where you stand on the political spectrum, press freedom is at the core of keeping our nation free and fair. And as the landscape of free press changes, LAist will remain a voice you know and trust, but the amount of reader support we receive will help determine how strong of a newsroom we are going forward to cover the important news from our community.

Please take action today to support your trusted source for local news with a donation that makes sense for your budget.

Thank you for your generous support and believing in independent news.

Chip in now to fund your local journalism
A row of graphics payment types: Visa, MasterCard, Apple Pay and PayPal, and  below a lock with Secure Payment text to the right
(
LAist
)

Trending on LAist