Skip to content

Tailor organization profile README for General Physical Intelligence #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
Copilot wants to merge 2 commits into from
Closed

Tailor organization profile README for General Physical Intelligence #1

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a3cd851
Initial plan
Copilot Jul 17, 2026
401b843
Update README with General Physical Intelligence org profile
Copilot Jul 17, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 27 additions & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1 +1,27 @@
# .github
<div align="center">

# General Physical Intelligence

</div>

General Physical Intelligence is an open-source organization focused on practical physical AI: building deployable robotics and embodied intelligence workflows, tools, and resources.

> **"Make physical AI deployable, reproducible, and useful in real-world systems."**

**Our mission:** accelerate physical AI through open tooling, transparent deployment workflows, and high-quality references for robotics and embodied AI builders.

## 🤖 Projects in This Organization

### [![deploy-physical-ai-on-rocm](https://img.shields.io/badge/%F0%9F%8F%9F%EF%B8%8F-deploy--physical--ai--on--rocm-red?style=for-the-badge)](https://github.com/General-Physical-Intelligence/deploy-physical-ai-on-rocm)
Practical resources for deploying physical AI workloads on ROCm.

## 🎯 What We Aim For

- Build practical physical AI workflows that move from experiments to deployment.
- Keep deployment processes inspectable, reproducible, and easy to extend.
- Curate high-signal tools, references, and examples for physical AI development.
- Share open-source artifacts that teams can adapt for real-world robotic systems.

## 🤝 Collaborate With Us

We welcome contributors, research labs, and engineering teams interested in physical AI deployment and reproducible embodied intelligence workflows.