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AESS Estudiants
Delta

L'idea és construir un robot Delta capaç de moure i apilar objectes. El robot aplicarà técniques de IA pel reconeixement dels objectes i planificació dels moviments.

🏗 Built with

🖥 Getting Started

Prerequisites

Requirements for the software and other tools to build, test and push

Installing

A step by step series of examples that tell you how to get a development environment running

Linux and macOS

Say what the step will be

python -m venv DeltaEnv
source venv/bin/activate
pip install -r requirements.txt

Windows

Say what the step will be

Steps

Usage example

A few motivating and useful examples of how your product can be used. Spice this up with code blocks and potentially more screenshots.

Example of usage

🧪 Running the tests (Optional)

Explain how to run the automated tests for this system

Sample Tests

Explain what these tests test and why

Give an example

Style test

Checks if the best practices and the right coding style has been used.

Give an example

🏛 Repo Structure Overview

  • Docs/: Documentation of the project

  • src/: Folder with all the codes.

    • Classes/: Folder with all the classes.

    • App.py: Main code

⚠️ Troubleshooting (Optional)

Error 1

Description of the Error 1 and probable solution.

🚀 Deployment (Optional)

Add additional notes to deploy this on a live system

🔬Contributing (Optional)

  1. Fork the project (https://github.com/yourname/yourproject/fork)
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -am 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Create a new Pull Request

➕ More Information (Optional)

For more information about the project, see the following document:

👤 Authors

🎓 License

This project is licensed under the MIT License - see the LICENSE.md file for details

🙏 Acknowledgments (Optional)

  • Hat tip to anyone whose code is used
  • Inspiration
  • etc

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