GUI for real-to-sim-to-real
The GUI for Real-to-Sim-to-Real is a user-friendly interface designed to simplify the process of creating, configuring, and exporting custom robot environments
This repository provides the official implementation of the RialTo GUI, as proposed in Reconciling Reality through Simulation: A Real-to-Sim-to-Real approach for Robust Manipulation The manuscript is available on arXiv. See the project page
🤝 How You Can Contribute
We are looking for passionate contributors to help improve and expand this project. Here’s how you can make an impact:
1️⃣ Propose New Features
- Suggest enhancements to improve the GUI’s functionality and user experience.
- Example ideas:
- Adding new templates for robot environments.
- Improving export functionality for better framework compatibility.
- Including AI-powered suggestions for environment configurations.
2️⃣ Fix Bugs
- Test the platform thoroughly and report or fix bugs.
- Help make the system more stable and efficient for all users.
3️⃣ Expand Documentation
- Write tutorials, FAQs, and how-to guides for new users.
- Create video walkthroughs or detailed blog posts to explain the features.
4️⃣ Contribute Code
- Add functionality to the GUI tools or backend systems.
- Work on optimizing performance and ensuring scalability.
🚀 Getting Started
- Visit the GitHub repository: Real-to-Sim-to-Real GUI Repository.
- Fork the repository and clone it locally.
- Explore the issues section for tasks you can pick up.
- Submit a pull request with your changes, ensuring you follow the contribution guidelines.
🌐 Why Your Contributions Matter
By contributing to this project, you’ll:
- Help create a resource that supports robotics enthusiasts worldwide.
- Be part of an open-source movement that accelerates innovation in robotics.
- Gain hands-on experience in contributing to impactful projects.
Citation
@article{torne2024reconciling, title={Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation}, author={Torne, Marcel and Simeonov, Anthony and Li, Zechu and Chan, April and Chen, Tao and Gupta, Abhishek and Agrawal, Pulkit}, journal={arXiv preprint arXiv:2403.03949}, year={2024}}