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General-purpose robot generalization needs diverse data sources

The study demonstrates that robot generalization depends on the diversity of training contributors rather than the sheer volume of samples, as new developers expand the coverage of unseen tasks. A shared latent space combining multi-modal alignment and generative augmentation is proposed to scale this diverse data collection.

#robotics#zero-shot#generalization#reinforcement learning#multi-modal

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