Thank you for your interest in contributing to the Golden Codex Lab Validation Kit!
- Use GitHub Issues to report bugs or request features
- Include your Python version, OS, and steps to reproduce
The most valuable contribution is running the validation protocol on your hardware:
- Install the kit:
pip install codex-lab-kit - Run the calibration wizard for your setup
- Execute the experiment protocol
- Share your anonymized results
- Fork the repository
- Create a feature branch (
git checkout -b feature/your-feature) - Make your changes
- Run tests:
python3 -m pytest tests/ -v - Submit a Pull Request
- Follow PEP 8
- Add type hints to public APIs
- Include docstrings for public classes and methods
We welcome contributions that extend the framework to new object datasets beyond YCB:
- Implement a loader following the pattern in
codex_lab_kit/ - Include ground-truth physical properties where available
- Document the dataset source and license
Be respectful, constructive, and collaborative. We're building this together.
- Open a GitHub Discussion
- Visit iaeternum.ai/robotics
- Email: research@iaeternum.ai