Yunzhu Li

speaker

208 appearances 1 recordings 1 series first heard Jul 2026 last heard 28 Jul

Yunzhu Li’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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The a16z Show · Fei-Fei Li on Spatial Intelligence and Robotics · 28 Jul 2026 podcast

Some are using a fixed arm.

Some are using mobile manipulators.

Some are using grippers.

Some are using some more elaborate versions of the manufacturers.

So our platform right now is just naturally embodiment-agnostic.

we can very easily integrate different kinds of robotic embodiments, be able to put them into the worlds we generated, we digitalized, such that we will be able to give those individual robots capabilities of doing the right tasks and at the right levels of reliability and efficiency in the real environments.

And we are also, for example, model agnostic.

So we can just using the data generated by our worlds to train different models.

either from scratch or doing post-training of existing foundation models like vision language action models or word action models.

So to us, it doesn't matter.

We just want to making sure we have the infrastructure, we have all the words such that the robot can work reliably in the real environment.

Like World Labs?

So that's a very good question.

So if you look at, for example, all the progressions of robotic applications in the real environment, it has always followed the trend from going from fully structured environments into semi-structured environments and then into unstructured environments.

For fully structured environments, what we mean is that you have knowledge and control over all the configurations within the environment.

Like factories.

Like factories or, for example, car manufacturing lines.

Those have been automated for decades.

And then you have, for example, semi-structured environments, which you have certain controls over the environments, for example, like the Amazon warehouses or, for example, like restaurants, hotels, where you have certain control over the environment to just make the task easier for your robots.

But there are obviously many other, like, objects.

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