InternUtopia

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InternUtopia is an AI Agents & Automation tool that provides a simulation platform for versatile Embodied AI research and development. It offers a general-purpose research platform for embodied AGI with interactive scenes and LLM-driven NPCs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is InternUtopia?

InternUtopia is a comprehensive simulation platform designed for advanced Embodied AI research and development. It addresses the challenges of real-world data collection by offering a robust Sim2Real paradigm. Key features include GRScenes, a dataset of 100k interactive, finely annotated scenes covering 89 diverse categories, and GRResidents, an LLM-driven Non-Player Character system for social interaction and task generation. The platform also provides GRBench, a collection of embodied AI benchmarks for assessing various capabilities like Object Loco-Navigation, Social Loco-Navigation, and Loco-Manipulation. InternUtopia supports diverse robots, policies, and physically accurate interactive object assets, making it an ideal environment for scaling the learning of embodied models.

Best used for

Ideal for researchers and developers who need to simulate complex embodied AI scenarios, benchmark agent capabilities, and develop general-purpose AI models. Especially valuable for scaling embodied AI learning through a robust Sim2Real paradigm and exploring social interaction in simulated environments.

Common actions

simulate embodied AI

develop AI agents

benchmark AI models

research embodied AGI

automated workflowopen-sourcelow-code/no-codeworkflowsdeepfakecollaborationface swapping"AI Agents"github copilot

Capabilities

Key features

Embodied AI simulation platform
100k interactive scenes
LLM-driven NPCs
Embodied AI benchmarks
Diverse robot support
Physically accurate assets
Procedural indoor scene generation

Target Audience

professorresearcherdeveloper

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running InternUtopia?

InternUtopia requires Ubuntu 20.04 or 22.04, NVIDIA Omniverse Isaac Sim 4.5.0, an NVIDIA GPU (RTX 2070 or higher), and NVIDIA GPU Driver (recommended version 535.216.01+). Docker and NVIDIA Container Toolkit are optional, and Python 3.10.16 is recommended.

How can I access the GRScenes-100 dataset?

To access the GRScenes-100 dataset, you must first complete the User Agreement. After that, you can download all assets (~80GB) or a minimum set (~500MB) using a Python script. The dataset can also be manually downloaded from OpenDataLab, ModelScope, and HuggingFace.

What types of benchmarks does InternUtopia provide?

InternUtopia establishes three preliminary benchmarks for evaluating embodied agents: Object Loco-Navigation, Social Loco-Navigation, and Loco-Manipulation. These benchmarks help assess various capabilities of solving embodied tasks and are detailed in InternNav and InternManip.

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Research & Education › Academic Research Coding & Development › Open Source & Models

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