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AI·1 min read

Taku, the laundry robot that fixes its own mistakes

Dyna Robotics showed Taku, a semi-humanoid that ran an hour-long laundry room workflow on its own, and tries to correct its own errors along the way.

A semi-humanoid robot named Taku folding towels at a laundry station during a live demo at a robot learning conference.
Image: اليوم السابع

Folding towels is boring. Doing it for an hour without a human stepping in is a harder problem, and that is what Dyna Robotics says its robot Taku can do.

The company showed the semi-humanoid at the Conference on Robot Learning (CoRL) in Austin, running a continuous, autonomous laundry demo. Dyna says the footage of its Dyna-2.1 system is uncut and shows a full hour of laundry room work, the way a person would do it.

What can the Taku laundry robot do?

According to the company, Taku can handle a complete cycle in commercial laundries, homes and hotels. That means loading and starting washers and dryers, taking towels out of the dryer and putting them on shelves. If something drops, it picks it up. If it makes a mistake, it tries to fix it by itself.

Taku is described as semi-humanoid, so it is not a full walking android. Dyna pairs the new hardware with an agentic system built around its Dyna-2 model, which is meant to cope with very long real-world workflows.

How was it trained?

Dyna says it trained the Dyna-2 model on more than one million hours of human video. It also reports that in a deployment test at a new site, the pass rate on quality checks rose to 87%, against 46% for the earlier Dyna-1 model.

Those figures come from the company. They are not an independent, standardised test across different robots, so treat them as claims.

The bigger goal is a general-purpose robot that can work a whole shift rather than repeat one narrow task. The point of Taku is less about faster movement or stronger arms and more about learning, planning and recovering from errors, which is what real workplaces demand.

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Tags:dyna roboticstakudyna-2.1laundry robothumanoidcorl

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