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Large Language ModelsRoboticsRobotics & Automation NewsPublished: Nov 10, 2026, 06:01 JST

Nature Will launches Natura-1, a 50-billion-parameter model for robot hands

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Nature Will launches Natura-1, a 50-billion-parameter model for robot hands

3 Key Points

  1. What happened

    Nature Will announced Natura-1, a 50-billion-parameter mixture-of-experts model trained on over 1 million hours of egocentric human data, operating at a 100-millisecond control loop to unify language, vision, and high-degree-of-freedom action.

  2. Why it matters

    Natura-1 shows that generalization and fine physical control can be learned together in one foundation model for dexterous hands, which may let robots follow complex natural-language instructions and handle delicate manipulation tasks across many fields.

WHO IT HITSRobotics and automation teams working on dexterous manipulation, especially those building general-purpose robots that need to follow natural-language instructions, may see a new foundation-model option for hand control.

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Context & Analysis

Nature Will positions Natura-1 as its first physical foundation model capable of general-purpose dexterous manipulation using real hardware. The company says the model is built on a 50-billion-parameter mixture-of-experts architecture trained jointly on language, images, video, and action, and that it operates at a 100-millisecond control loop. According to CEO Ning Ding, general models that can handle every task must exist and must utilize dexterous hands, and Natura-1 is described as a first step toward models that scale from human experience. The body presents the model as applicable to any field requiring fine or delicate manipulation, though no specific deployment partners or timelines are mentioned.

FAQ
What is Natura-1 trained on?
Natura-1 is pre-trained on over 1 million hours of egocentric human data and trained jointly on language, images, video, and action.
What makes Natura-1 different from other robot models?
Nature Will says Natura-1 shows that generalization and fine physical control can be learned together in a foundation model for dexterous hands, enabling zero-shot instruction following and sustained actions.
Who is the CEO of Nature Will?
Ning Ding is the CEO of Nature Will.
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