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Successful generalist Vision-Language-Action (VLA) models rely on effective training across diverse robotic platforms with large-scale, cross-embodiment, heterogeneous datasets.
Visualizing data using t-sne
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Tony Z Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
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Data scaling laws in imitation learning for robotic manipulation
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Gr00t n1: An open foundation model for generalist humanoid robots, 2025
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