---
title: "Nature Will launches 50-billion-parameter Natura-1 model for dexterous robot hands"
slug: "nature-will-launches-50-billion-parameter-natura-1-model-for-dexterous"
date: "2026-10-16"
category: "AI & Automation"
author: "Dr. Kai Wei"
correspondent: "Dr. Kai Wei"
correspondentRole: "Lead Frontier AI Correspondent"
readingTimeMinutes: 2
tags: ["AI","News"]
originalSourceUrl: "https://pandaily.com/nature-will-natura-1-physical-world-foundation-model-50b-moe-dexterous-hands"
canonicalUrl: "https://aurav.ae/nature-will-launches-50-billion-parameter-natura-1-model-for-dexterous"
publisher: "Aura-V Intelligence (aurav.ae)"
---

# Nature Will launches 50-billion-parameter Natura-1 model for dexterous robot hands

> Chinese startup Nature Will unveiled Natura-1, a 50-billion-parameter mixture-of-experts model trained on a million hours of human video to control 20-DoF robot hands.

## Key Takeaways (TL;DR)

- Nature Will released Natura-1, a 50 B-parameter foundation model pretrained on one million hours of egocentric video.
- The model drives 20-degree-of-freedom robot hands, handling complex language-conditioned tasks zero-shot.
- Company-reported benchmark scores are 53.4 (base) and 59.1 (agentic) on a twelve-dimension dexterity test.

Nature Will, a Chinese AI startup, announced the release of Natura-1 on October 13, describing it as its first general foundation model for the physical world. The 50-billion-parameter mixture-of-experts model was pretrained on more than one million hours of first-person human video and then fine-tuned with limited robot manipulation data to control 20-degree-of-freedom dexterous robot hands. Details are in the company’s release on [Pandaily](https://pandaily.com/nature-will-natura-1-physical-world-foundation-model-50b-moe-dexterous-hands).

The firm says the curated corpus contains one million hours of language-conditioned action trajectories, screened for sensor anomalies and annotated from overall goals to individual steps. Dense 3D hand poses were recovered from monocular and stereo video, stored in a tens-of-petabytes data lakehouse, and trained on hundreds of GPUs with over 50 % FLOPs utilization. At inference, a Rust orchestration layer and fused CUDA kernels maintain a 100-millisecond observation-to-action loop. Demonstrations include folding thin fabrics, writing calligraphy with a soft brush, and multi-stage tool switching.

Our read: Natura-1 shows a pragmatic path to physical intelligence by leveraging massive human video rather than robot-collected data, but the performance claims rest on internal benchmarks that have not been independently verified. The 100 ms latency and reported scores suggest feasibility for certain B2B automation scenarios, yet scaling to diverse industrial tasks will require broader validation and cost analysis.

---

*Original Think-Tank Source: [Nature Will Unveils Natura-1, a 50B Model Trained on Human Video to Drive 20-DoF Dexterous Hands](https://pandaily.com/nature-will-natura-1-physical-world-foundation-model-50b-moe-dexterous-hands)*