Dyna's Taku runs a laundry room alone for an hour

Dyna's Taku runs a laundry room alone for an hour

Dyna released Dyna-2.1 and Taku, a wheeled semi-humanoid, with uncut footage of it running a whole hotel-style laundry room workflow.

@Lindon_Gao: "Customers care about getting work done, not video views." r/singularity: "Even at 10x speed it's still 10x slower than a human."

Big step. A robot that finishes a whole job, not one task, is something a business will actually pay for.

1. Tesla lines up $30B of credit for Optimus and Cybercab

An SEC filing shows a $20B term loan and $10B of revolvers. Tesla hasn't drawn any of it and doesn't plan to in 2026.

@StockSavvyShay: capital in place "before AI, Optimus and Cybercab really start scaling." @ChuckCook: "Sounds like something an airline would do in lean times" (121K).

Love it. Mass-producing robots eats cash, and lining it up before you need it is the right order.

Heat: medium · 430K views, 24 posts

2. AGIBOT puts 100 X2 humanoids in 100 shops

Cookware retailer ASD uses them to greet shoppers and recommend products, while staff handle payment. A three-day livestream shows selected stores.

@TheHumanoidHub: "Home Depot needs this today." @sondesix: "put to work" in stores "rather than staying locked in R&D demos."

Nice. Greeting shoppers is a small job, but 100 stores at once is real deployment.

Heat: low · 28K views, 12 posts

3. Matic shows how its home robot sees, and teases a humanoid

After 16K+ homes, Matic says home robots are built in the wrong order, so it started with "eyes, not hands." Manipulation comes next.

@IlirAliu_: few robotics companies are "already shipping at this scale." @herbertong: "the closest to R2D2 as any others have gotten."

Right order, in our book. Ship something useful, learn from real homes, then add hands.

Heat: medium · 377K views, 32 posts

4. Flourish 1: a $3,555 chore robot

A Raspberry Pi-powered home robot you train from your phone, aimed at busy parents. The first 50 ship in December.

@chris_j_paxton: "Affordable mobile home robot to help you do your chores!" @techniahqrobot: "3,555 is a pretty attractive price."

Cheap home robots are how this goes mainstream. We'd love to see it fold laundry, not just hear the price.

Heat: low · 42K views, 3 posts

5. An unreleased π0.7 drives an excavator

With about an hour of data (three cameras and joystick values), a hackathon team got Physical Intelligence's π0.7 to move dirt from one prompt. They placed 2nd.

@svlevine: "an excavator and a nerf gun are also robots." The team spent the spare time mounting a Nerf minigun on the roof.

An hour of data to run heavy machinery is wild. Construction robots may come sooner than we thought.

Heat: low · 25K views, 2 posts

An automatic curriculum for fast rough-terrain ANYmal

LP-ACRL tracks learning progress per task and shifts training toward whatever is improving fastest, across 600 combinations of terrain and speed, with no hand-set order. It matters because hand-designed curricula don't scale to that many skills.

What makes world action models generalize?

Latent world action models, which skip generating future frames for speed, match explicit ones on familiar tasks but lose the generalization that made them worth it. It matters because the shortcut to running these models fast costs robustness.

CrossBFM: one behavior space for many humanoids

It makes a promptable latent behavior space that transfers across humanoid bodies, instead of spending hundreds of GPU-hours per robot. It matters because every new humanoid shouldn't start from zero.

Same thread in all three: robot learning that transfers across tasks and bodies, so each new skill costs less.