BEHAVIOR-1K is a platform designed to accelerate Embodied AI research by providing a comprehensive simulation environment. It caters to researchers and developers working on AI agents that interact with the physical world, offering photorealistic visuals and realistic physics for complex tasks.

How It Works

Built on NVIDIA's Omniverse, BEHAVIOR-1K leverages its advanced rendering and physics capabilities. The platform features a large-scale, high-quality dataset of scenes and objects, supporting fluid dynamics and soft-body interactions. It includes mobile manipulator robots with modular controllers and integrates with the OpenAI Gym interface for standardized reinforcement learning experiments.

Quick Start & Requirements

• Install: pip install omnigibson
• Prerequisites: Python 3.8+, PyTorch 1.7+, CUDA 10.2+ (for GPU acceleration).
• Resources: Requires significant disk space for scene and object assets.
• Docs: https://docs.omniverse.nvidia.com/app/create/user_guide/index.html (Omniverse documentation, as BEHAVIOR-1K is built upon it)

Highlighted Details

• 1,004 pre-sampled tasks and 50 diverse, high-quality scenes.
• Support for fluid and soft-body physics simulation.
• Mobile manipulator robots with modular controller options.
• Photorealistic visuals and physically accurate simulations.

Maintenance & Community

The project has seen regular updates, with v1.1.0 released in October 2024, focusing on stability and pip installation. A Discord server is available for community support.

Licensing & Compatibility

The README does not explicitly state the license for the BEHAVIOR-1K platform or its assets. Users should verify licensing for commercial use or integration into closed-source projects.

Limitations & Caveats

The platform's reliance on NVIDIA Omniverse may introduce specific hardware and software dependencies. The extensive asset library requires substantial storage.