The laundry robot: how close are we?
Laundry folding has become the unofficial benchmark of home robotics — soft, crumpled, unpredictable fabric is one of the hardest manipulation problems in the field, which is exactly why every robot company shows off folding videos. Here's the truth behind them.
The state of robot laundry in 2026
Multiple humanoids — including 1X's NEO and Figure's robots — have demonstrated real laundry handling: picking items from a basket, folding shirts, moving loads between machines. The catch is speed and reliability. A human folds a shirt in seconds; robots take substantially longer and fumble edge cases (fitted sheets defeat robots as thoroughly as they defeat humans). Some demos also involve remote human assistance for the hardest grasps.
That said, this is the fastest-improving capability in home robotics, because it's the one every company is being measured on. The realistic near-term product isn't "laundry done invisibly" — it's "the robot slowly works through the basket while you're at work, and you don't care that it took two hours."
Why laundry is so hard for robots
Rigid objects have predictable shapes; a dropped towel has effectively infinite configurations. Solving deformable-object manipulation requires exactly the vision-language-action AI models the industry is racing to build — which is why laundry progress is a leading indicator for every other soft-hands household task, from making beds to packing bags.