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.
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.
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
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.
To start the project:
- Install the required dependencies:
pip install opencv-python
- Run the main script:
python main.py
Special thanks to the teaching assistant for support and guidance Hossam