https://github.com/nourmorsy/chess_system_dobots_arms

project for design chess algorithm vision based for two robot arms
https://github.com/nourmorsy/chess_system_dobots_arms

opencv python3 stockfish-chess

Last synced: 5 days ago
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project for design chess algorithm vision based for two robot arms

• Host: GitHub
• URL: https://github.com/nourmorsy/chess_system_dobots_arms
• Owner: nourmorsy
• Created: 2024-04-17T11:58:34.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-11-01T22:21:34.000Z (17 days ago)
• Last Synced: 2024-11-01T23:18:45.461Z (17 days ago)
• Topics: opencv, python3, stockfish-chess
• Language: Python
• Homepage:
• Size: 3.87 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Chess Algorithm with Dobot Arms

## Overview and Goal

This project showcases a competition between two AI-powered robots playing chess against each other. Using the Stockfish chess engine for high-level gameplay, the project combines vision-based camera calibration to track moves and interpret board states in real-time. The goal is to create an engaging chess match experience where two virtual opponents, each powered by sophisticated AI, compete in a head-to-head game of strategy and skill.

---

## Robots Used

This project utilizes two **Dobot Magician** robotic arms for physically moving chess pieces on the board. These versatile robotic arms are well-suited for educational and research purposes and provide accurate and repeatable motion control, making them ideal for a chess-playing robot.

---

## Dependencies

To run this project, you’ll need the following:

- Python 3.x

- OpenCV for camera functionality (if applicable to `camera_callibration.py`)

- Stockfish Chess Engine [Download here](https://stockfishchess.org)

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## Files

- **`camera_callibration.py`**: Manages camera calibration functions, possibly to capture and interpret board positions.

- **`main.py`**: The main script that runs the program, integrating chess engine functionality and additional features.

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## Running the Project

To start the project:

1. Install the required dependencies:

   ```bash

   pip install opencv-python

   ```

2. Run the main script:

   ```bash

   python main.py

   ```

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## Acknowledgments

  Special thanks to the teaching assistant for support and guidance [Hossam](https://github.com/Hossamvs)