Nature Will launches Natura-1, a 50-billion-parameter foundation model for dexterous robot hands
Nature Will launches 50-billion-parameter AI model for dexterous robot hands
Nature Will announced Natura-1, a 50-billion-parameter mixture-of-experts model trained on over 1 million hours of egocentric human data. The model operates at a 100-millisecond control loop to enable zero-shot instruction following and sustained manipulation for advanced robotics applications.
Source: Robotics & Automation News · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Data origin
- Human egocentric dataOpen source S2
Reported numbers
parameter count
50
View original evidence
Nature Will launches 50-billion-parameter AI model for dexterous robot hands
Open source S1training hours
1
Summed sensor-hours
View original evidence
Nature Will , a physical AI lab dedicated to building physical AGI, has announced the launch of Natura-1, a 50-billion-parameter physical general foundation model for dexterous hand control and zero-shot instruction following in advanced robotics applications. Pre-trained on over 1 million hours of egocentric human data, the Natura-1 combines instruction following with the ability to manipulate to changing task condi
Open source S2control loop latency
100
View original evidence
er in a foundation model for dexterous hands, applicable to any field where fine or delicate manipulations are required as part of the creation process. Built on a 50 billion parameter mixture-of-experts model trained jointly on language, images, video, and action, Natura-1 operates at a 100-millisecond control loop to unify language, vision, and high-degree-of-freedom action that connects language-directed behavior
Open source S4model parameter count
50
View original evidence
with the physical control. Ning Ding, CEO of Nature Will, says: “We believe general models that can handle every task must exist, and that those models must utilize dexterous hands. “Natura-1 is our first step towards models that scale from human experience, building infrastructure that enables us to create the model from the ground up and that allows it to scale to any application. “The Natura-1 is a 50-billion-para
Open source S5
Dataset details reported by the source
- Modalities
- language Open source S4images Open source S4video Open source S4action Open source S4
- Tasks
- dexterous hand control Open source S2zero-shot instruction following Open source S2manipulation Open source S2
- paper: not_reported
What remains unknown
Dataset licensing and commercial-use rights are not established here.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
Nature Will , a physical AI lab dedicated to building physical AGI, has announced the launch of Natura-1, a 50-billion-parameter physical general foundation model for dexterous hand control and zero-shot instruction following in advanced robotics applications. Pre-trained on over 1 million hours of egocentric human data, the Natura-1 combines instruction following with the ability to manipulate to changing task condi
Open source S2
er in a foundation model for dexterous hands, applicable to any field where fine or delicate manipulations are required as part of the creation process. Built on a 50 billion parameter mixture-of-experts model trained jointly on language, images, video, and action, Natura-1 operates at a 100-millisecond control loop to unify language, vision, and high-degree-of-freedom action that connects language-directed behavior
Open source S4
Nature Will launches 50-billion-parameter AI model for dexterous robot hands
Open source S1
with the physical control. Ning Ding, CEO of Nature Will, says: “We believe general models that can handle every task must exist, and that those models must utilize dexterous hands. “Natura-1 is our first step towards models that scale from human experience, building infrastructure that enables us to create the model from the ground up and that allows it to scale to any application. “The Natura-1 is a 50-billion-para
Open source S5
meter mixture-of-experts model with dexterous manipulation, long-horizon execution, and zero-shot instruction following, making it truly capable of scaling human experience into purposeful action.” The model represents Nature Will’s first physical foundation model that is capable of general-purpose dexterous manipulation using real hardware, acting as a breakthrough in the development of general foundation models mad
Open source S6
Implications for data suppliers
RoboSignal interpretation and collection questions, not statements of buyer demand.
- Check whether the intended buyer needs human observations, hand or object annotations, or aligned robot actions. Human video alone does not provide robot commands.
- Compare the reported units and scope before using these quantities in a budget. Recording hours, sensor-hours and trajectories are different measures.
- Check the exact dataset version, license, modalities and task coverage against the intended use.
- Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.
Source：Robotics & Automation News · roboticsandautomationnews.com