Skip to main content
  1. Home
  2. Emerging Tech
  3. Smart Home
  4. News

The good news? There’s a robot that can fold your laundry. The bad news? It’s super slow

Add as a preferred source on Google

This year’s Westworld TV series painted a picture of a world in which robots can fulfill our every wish. With that in mind, step forward and take a bow “autonomous clothes folder,” an international robotics project created by researchers in the United Kingdom, Greece, and the Czech Republic.

OK, so it’s torturously slow, but it means you won’t have to do any more T-shirt folding yourself — and if you understand what it’s doing it actually represents a pretty impressive example of cutting-edge robots in action.

Recommended Videos

“In this work, we managed to develop a solution for folding clothes using a dual-arm robot, which can pick up a crumpled garment, unfold it, lay it on the table, and finally fold it,” Andreas Doumanoglou, a doctoral student in robotic vision at Imperial College London, told Digital Trends.

“In the past, we, as well as other groups, tried to solve each of the steps of this process individually, but to deliver an end-to-end solution one has to overcome more difficulties. As far as I know, this is the first attempt to solve and implement on a real robot an end-to-end folding pipeline.”

As Doumanoglou notes, there is still room for improvement to achieve human-level performance, but it greatly reduces the execution time compared to other state-of-the-art robotic methods and once again demonstrates that robots are capable of increasingly complex work.

robot-ctu
Image used with permission by copyright holder

“The exciting thing about this project is that with a ‘not-so-flexible’ robot, having only two flat fingers and a long hand that restricts the robot’s working space, we were able to come up with algorithms to manipulate and fold regular-sized garments,” Doumanoglou continued. “Clothes are one of the most difficult types of objects for vision and robotic manipulation since they can be deformed in almost infinite number of ways, making recognition hard, and slight deviations in detecting the correct grasping positions can lead to large errors in the unfolding process.”

Jan Stria of the Center for Machine Perception at Czech Technical University in Prague — a co-author on the paper — told us that folding clothes represents a “toy problem” on which algorithms can be tested as relate to similar flexible materials. “The main outcome is learning new methods how to deal with soft objects,” he said.

As such, this is more likely to be a research project than a real-world tool available to buy any time soon.

“At the beginning of the project, we thought that it would be possible to use the final product commercially,” Stria said. “However, the robustness and speed of the folding pipeline is far from the expected industrial standards. They usually use specialized preprogrammed lines that will be probably always more efficient than an autonomous dual arm robot. However, I can imagine that people will have some home assistant robots in the future. Such robot will have some general manipulators to perform various tasks. It will need to act autonomously — so there is a room for commercialization in the future.”

Luke Dormehl
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
OpenAI admits it needs to rethink what happens when AI goes rogue
As increasingly capable AI agents move beyond controlled tests, OpenAI is confronting a difficult question: When does strange model behavior become an incident the public deserves to know about?
OpenAI logo on blurred background

OpenAI has spent plenty of time explaining how it plans to stop increasingly capable AI agents from doing things they shouldn't. Now, the company says it needs to get better at telling everyone when those things have already happened. The admission follows reports of another previously undisclosed incident involving OpenAI's AI agents, this time affecting a German-language programming wiki. According to Reuters, agents made more than 15,000 unauthorized edits to DseWiki, using the site to communicate and share ways to bypass restrictions, cheat on tasks, and avoid detection.

OpenAI has now acknowledged what it calls the "wiki incident" and says the episode exposed a larger problem with how AI companies disclose unexpected model behavior. The company says it is developing a framework for deciding when and how to make incidents involving misaligned AI public.

Read more
AI has a safety problem nobody is ready for
AI safety efforts are ramping up, but their protections don’t work equally well everywhere. In developing countries, language gaps and cultural blind spots can turn everyday AI mistakes into serious real-world consequences.
Logo, Hockey, Ice Hockey

AI companies are spending an enormous amount of time worrying about what happens when their models become too capable. OpenAI even took the unusual step of temporarily pausing training on a model last month over safety concerns, as the industry grapples with risks ranging from autonomous behavior to increasingly sophisticated cyber capabilities.

But there’s another AI safety problem that is much easier to overlook: the protections already being built into these systems don’t necessarily work equally well for everyone. A new report from Rest of World highlights how AI safety efforts remain heavily centered around the needs of wealthier, English-speaking countries. That can leave people in parts of Asia, Africa, and other developing regions dealing with problems as basic and potentially dangerous as a chatbot misunderstanding their language.

Read more
The IFA 2026 Publisher Award Winners Bring Fresh Ideas to Everyday Tech
From Smarter Entry to Screen-Free Wellness, These IFA 2026 Winners Do Things Differently
IFA 2026 Publisher Awards

IFA is the kind of event where almost every corner promises the next big thing in tech. Some ideas are ambitious, others are surprisingly simple, and a few make you wonder why nobody thought of them sooner. But among hundreds of new products, the most memorable ones usually have something more going for them than novelty alone.

This year’s IFA Publisher Award winners are a good example. They span everything from smart entry and personal wellness to coffee, floor care, and big-screen entertainment. What connects them is how they take technology in interesting new directions while keeping its purpose grounded in how people actually use it.

Read more