Natura-1

Headlines · 2

1. 3d
   Nature Will releases Natura-1: 50B MoE model for dexterous robot hands

   Beijing embodied-AI company Nature Will released Natura-1, a 50B-parameter MoE Transformer physical-world foundation model pretrained on roughly 1 million hours of first-person human experience data (about 61.7 million clips, 318,000 tasks, 14,000 scenes), then post-trained on limited robot data; it takes language and vision as input and drives 20-degree-of-freedom dexterous hands within a 100 ms control loop. The team says it combines dexterous manipulation with zero-shot instruction following, and published unedited one-take demos including wrapping wontons, making tea, packing parcels, applying a phone screen protector and writing calligraphy. On its own 12-dimension benchmark, Natura-1 scored 53.4 (Base) and 59.1 (Agentic) on the dexterous-hand platform, while π0.5 and OpenAI's GPT-6 Astra scored zero there (13.5 and 16.7 on a gripper platform); the team also reports action-prediction error dropping 47.7% on held-out human data and 67.7% on held-out robot data as training experience scaled from about 44,000 to 1 million hours.

   机器之心 · 🔥 0
2. 3d
   9-month-old startup 自然意志 releases Natura-1, a 50B physical-world model

   Chinese embodied-AI startup 自然意志, founded in January 2026, has introduced Natura-1, a 50B-parameter general-purpose physical-world foundation model pretrained on one million hours of human first-person (ego) footage, according to 36Kr. The company says the model shows dexterous manipulation and zero-shot instruction following, at times learning new compound actions on the spot — such as wiping an apple, or opening a laptop and pressing the space bar even though laptops and keyboards were absent from training. It also demonstrates self-correction, pausing and re-adjusting its grip after a failed grasp instead of continuing toward the goal, and uses memory of earlier frames rather than acting frame by frame. After release, 自然意志 plans to let outside visitors issue ad-hoc commands and test the robot with their own objects, judging zero-shot ability by completion rates on full long-horizon tasks.

   36氪 人工智能 · 🔥 0

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