The GRID platform aims to accelerate the development, training, and deployment of AI for robots by providing a comprehensive suite of tools including high-fidelity simulation, foundation models, and MLOps pipelines. It targets robotics researchers and developers seeking to build perception, planning, and control skills or generate synthetic data for robot training.

How It Works

GRID integrates advanced AI foundation models with robust simulation environments and streamlined development/deployment pipelines. This approach allows for the rapid creation and infusion of safe, intelligent capabilities into various robotic form factors, leveraging both real and synthetic data.

Quick Start & Requirements

• Open GRID: Access the fully web-based platform at https://grid.scaledfoundations.ai with no installation required.
• GRID Enterprise: Details available at https://www.scaledfoundations.ai/product/grid-enterprise.
• Repository: Contains sample configurations and Python notebooks for use with the GRID platform.

Highlighted Details

• Supports building robotics skills across perception, planning, and control.
• Enables the capture of massive synthetic datasets for robot training.
• Offers both a web-based platform (Open GRID) and an enterprise version.

Maintenance & Community

This project is developed by Scaled Foundations. Further details on community or roadmap are not explicitly provided in the README.

Licensing & Compatibility

The README does not specify a license for this repository. The project is described as a platform for general robot intelligence development.

Limitations & Caveats

The provided repository contains sample configurations and notebooks, implying that the core platform functionality is accessed via the web-based Open GRID or the enterprise version, rather than being fully contained within this specific GitHub repository.