[tyre]

I would guess Amazon has a ridiculous amount of access to training data in its warehouses. Video, package sizes, weights, sorting.

I’m sure they could pretty easily spin up a site with 200 of these processing packages of most sizes (they have a limited number of standardized package sizes) nonstop. Remove ones that it gets right 99.99% of the time and keep training on the more difficult ones, the move to individual items.

Caveat: I have no idea what I’m talking about.

[eulgro]

A more efficient way might be to train them in simulation. If you simulate a warehouse environment and use that to pre-train a million robots in parallel at 100x real time learning would go much faster. Then you can fine tune on reality for details missed by the simulation environment.