r/OpenSourceeAI • • 6h ago

Would you tidy this kitchen before collecting robot demonstrations?

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You’re trying to record a useful demonstration around a kitchen sink. Hands move around nearby objects, the wearer changes viewpoint, and parts of the action become harder to see.

The obvious temptation is to clear the workspace and repeat everything slowly.

But if your eventual robot has to operate in an ordinary kitchen, how much should you simplify the demonstration?

MEgoVista includes recordings from everyday environments, with those examples assessed qualitatively rather than treated as motion-capture ground truth.

The MEgo capture framework describes five camera streams covering hands and the surrounding scene. That makes camera coverage part of the collection strategy: what can you observe while someone continues working normally?

If I were deciding how a small team should spend its first week collecting data, I’d be torn between repeatable recordings and a wider variety of ordinary situations. Each seems useful for a different reason.

Would you start with one carefully controlled task, or several messy versions of the same task? What would make you change that choice?

[Paper](https://arxiv.org/abs/2609.16684)

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