# NVIDIA/Isaac-GR00T

NVIDIA Isaac GR00T N1.7 -  A Foundation Model for Generalist Robots.

Repository: https://github.com/NVIDIA/Isaac-GR00T
Canonical: https://ross.abutalabs.com/products/isaac-gr00t
Homepage: https://developer.nvidia.com/isaac/gr00t
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-08-20T21:25:42+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 68, longevity 38
- inputs: {"age_days": 540, "days_push": 13, "days_rel": 132, "gap_med": 63.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7926, forks 1418 (observed 2026-08-28T04:10:09.848420+00:00)

## What it is
NVIDIA Isaac GR00T N1.7 is an open vision-language-action (VLA) foundation model for generalized humanoid robot skills, taking language and image inputs to perform manipulation tasks across robot embodiments. The repository provides model weights, inference, fine-tuning, and evaluation tooling, with LeRobot integration.

## Use cases
- run a vision-language-action model on a humanoid robot
- fine-tune a robot foundation model on custom demonstration data
- control robot arms for grasping and object manipulation from language commands
- evaluate cross-embodiment robot policies
- prototype generalist robot manipulation skills
- post-train a VLA model for a specific robot embodiment

## When to choose
- you need a pre-trained VLA model for humanoid or bimanual manipulation
- you want to fine-tune a robot foundation model with your own demonstration data
- you are doing physical AI research on cross-embodiment policies
- you want LeRobot-compatible robot learning workflows

## When to avoid
- you need a lightweight model for embedded microcontrollers
- you lack GPU hardware for inference or fine-tuning
- your task is unrelated to robot control or manipulation
- you need a non-neural classical robotics control stack

## Facets
- artifact type: library
- maturity: stable
- function: machine-learning, deep-learning, llm-inference, sdk
- domain: robotics, artificial-intelligence, machine-learning, deep-learning
- platform: python, cross-platform
- tags: vision-language-action, foundation-model, humanoid-robots, robot-manipulation, cross-embodiment, fine-tuning, lerobot, nvidia, gpu, linux

## Member repositories
- NVIDIA/Isaac-GR00T (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:09.848420+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:15.543333+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/Isaac-GR00T (fetched 2026-08-28T04:10:09.848420+00:00, sha 0fd0cc7438ef)
  - homepage: https://developer.nvidia.com/isaac/gr00t (fetched 2026-08-29T08:29:56.899393+00:00, sha 429f123a5ec7)
- Data as of 2026-08-30T08:39:29.467469+00:00.