NVIDIA GR00T N1

Foundation Model and Simulation Frameworks for Humanoid Robots to Accelerate Robot Development

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The dual-system architecture of the GR00T N1 foundation model is based on ideas from human cognition

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NVIDIA’s GR00T N1 significantly improves robot thinking and skills to build customized models

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System 1 is a quick-thinking action model that mimics human intuition or reactions

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System 2 is a meticulous, slow-thinking approach to decision-making

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Both human demonstration data and a vast amount of synthetic data produced by the NVIDIA Omniverse platform are used to train System 1

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Real-world human demonstration data for humanoids is constrained by an individual’s 24-hour day

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You can now get the NVIDIA GR00T N1 training data and task evaluation scenarios from GitHub and Hugging Face

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