Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence

ilreb 150 points 23 comments June 16, 2026
qwen.ai · View on Hacker News

Discussion Highlights (10 comments)

lukewarm707

qwen just keeps delivering, it's too good

wiremine

Nice! What are some hardware platforms that leverage these models?

w10-1

Was it expected that Qwen is working on this? What are the current alternatives? The TAM for robots is much, much larger than for coding or services, and much more strategic when you think about manufacturing and war-making. The Qwen "suite" is a workmanlike breakdown with demonstrated tasks that seems to me as an outsider to suggest that one could start building integrated systems this year, and have simple products next year. I'd be very interested in an assessment from engineers from the robotics companies (cars, biomedical robots, manufacturing...). Elsewhere on HN I see hundreds of comments on SpaceX's long-telegraphed merger with Cursor but no serious evaluation of this.

idiotsecant

I can't view the videos on my phone. How much existential terror should I feel?

aliljet

This sounds incredible. Have these models effectively solved the problem of trying to use a fast-processing network to predict the world's state ahead? For example, to catch a ball?

trilogic

This is brilliant, the very future of humanity and huge market share for the next 30 years. The cards on the table too early can be a mistake. With Qwen background this can be mass production like 1 Million units/year in the next 3 years. Think of excavators but in minisize for human use. OMG Europe look at this and take note, every industry dream, the robot suit. It will take over the car market by X10 fold in the next decade. Please Europe get on this fast.

Kuyawa

Think, move, sense, at a neck breaking pace. Awareness is just an iteration away.

toephu2

Is it open source?

karunamurti

With Chinese robotics capabilities and silicone doll capabilities they can be the forefront in the humanoid robotics if everything converge.

yogthos

In my opinion, training through embodiment and constructing an internal world model makes it possible to do genuine reasoning about how objects behave in the physical world. We have a continuous feedback loop where we take an action, and see the result giving basis to our shared context we lean on when communicating with each other. Having context is key for being able to explain why you made a particular decision, and allows for error correction and guidance towards better decisions through conversation. This is largely what we mean by having understanding in a human sense. So, having a world model in the context of robotics is the most likely path towards creating a genuine artificial intelligence.

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