# InternRobotics/InternUtopia

A simulation platform for versatile Embodied AI research and developments.

Repository: https://github.com/InternRobotics/InternUtopia
Canonical: https://ross.abutalabs.com/products/internutopia
Homepage: https://internrobotics.github.io/user_guide/internutopia/
Language: Python
License: MIT
License Family: permissive
Last push: 2025-09-04T06:38:50+00:00

## Health v2 (maintenance only)
Score: 41/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 40, release rhythm 34, longevity 56
- inputs: {"age_days": 793, "days_push": 363, "days_rel": 363, "gap_med": 41, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1285, forks 79 (observed 2026-08-28T04:04:14.686831+00:00)

## What it is
InternUtopia (formerly GRUtopia) is a Python simulation platform built on NVIDIA Isaac Sim for embodied AI research, supporting diverse robots, sensors, controllers, and Gym-compatible environments. It provides benchmarks and baselines for tasks like social navigation and mobile manipulation, plus teleoperation demos with VR headsets and cameras.

## Use cases
- simulate humanoid robots for embodied AI research
- train robot policies in Gym-compatible environments
- benchmark social navigation algorithms
- teleoperate a robot with a VR headset
- control a Franka arm with camera-based motion capture
- generate simulation data for robot learning

## When to choose
- you need a high-fidelity Isaac Sim-based simulator for humanoid or manipulator research
- you want out-of-the-box robots, sensors, and controllers with a Pythonic config system
- you need benchmarks for social navigation or mobile manipulation

## When to avoid
- you lack an NVIDIA RTX GPU, which is required to run the simulator
- you need lightweight 2D robot simulation without heavy GPU requirements
- you want a production robotics deployment stack rather than a research platform

## Facets
- artifact type: library
- maturity: active
- function: simulation, robotics, machine-learning, sdk
- domain: robotics, simulation, artificial-intelligence, autonomous-vehicles
- platform: python
- tags: embodied-ai, isaac-sim, humanoid-robots, robot-learning, gym-environments, teleoperation, benchmark, linux, gpu, docker

## Member repositories
- InternRobotics/InternUtopia (main) score 41

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:14.686831+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 2026-08-30T04:56:37.646172+00:00, confidence not recorded.
  - readme: https://github.com/InternRobotics/InternUtopia (fetched 2026-08-28T04:04:14.686831+00:00, sha c6b2fccf0673)
  - homepage: https://internrobotics.github.io/user_guide/internutopia/ (fetched 2026-08-29T12:12:22.918184+00:00, sha 4fba71473bad)
- Data as of 2026-08-30T08:39:29.467469+00:00.