Excited to share our Physical AI reasoning model for item stacking, CARGO!
CARGO is trained with sim-to-real reinforcement learning to plan high-level actions, such as which item to pick next and where to place it, in order to maximize packing density on real-world robots.
CARGO is already deployed to robots in customer operations, building stacks at over 72.5% density at over 340 sorts per hour.
Read more in our technical blog:
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