https://github.com/vipsy-123/chess-robot

AutomatedChessRobot is a cutting-edge project designed to automate chess gameplay on 6 Dof Articulated Robotic Arm by Mitsubishi by leveraging advanced computer vision, object detection, and robotics Kinematics.
https://github.com/vipsy-123/chess-robot

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AutomatedChessRobot is a cutting-edge project designed to automate chess gameplay on 6 Dof Articulated Robotic Arm by Mitsubishi by leveraging advanced computer vision, object detection, and robotics Kinematics.

• Host: GitHub
• URL: https://github.com/vipsy-123/chess-robot
• Owner: Vipsy-123
• Created: 2024-03-04T09:08:50.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-08-16T18:20:58.000Z (4 months ago)
• Last Synced: 2024-08-16T19:42:54.094Z (4 months ago)
• Language: C++
• Homepage:
• Size: 119 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AutomatedChessRobot

**AutomatedChessRobot** is a cutting-edge project designed to automate chess gameplay on 6 Dof Articulated Robotic Arm by Mitsubishi by leveraging advanced computer vision, machine learning, and robotics. The project integrates the powerful YOLOv5 object detection model, the world-class Stockfish chess engine, and the precise RT Toolbox, all orchestrated through Python.

![WhatsApp Image 2024-08-16 at 11 46 08 PM](https://github.com/user-attachments/assets/7d979ca2-9dfb-425b-b2cf-e189a586156c)

## Key Components

### 1. Detection with YOLOv5

- **YOLOv5** is employed to accurately detect and recognize the positions of chess pieces on the board in real-time.

- The model's robustness allows it to function under various lighting conditions and board setups, ensuring precise detection every time.

### 2. Chess Engine - Stockfish

- The project utilizes the **Stockfish** chess engine, which is renowned for its strategic depth and ability to calculate optimal moves.

- Stockfish ensures the robot can act as a formidable opponent or a helpful partner, depending on the user's preference.

### 3. RT Toolbox

- The **RT Toolbox** is used to control the robotic arm, enabling precise and accurate movement of chess pieces on the board.

- It ensures that each piece is placed correctly according to the rules of chess and the decisions made by the Stockfish engine.

### 4. Python Integration

- **Python** serves as the central language that ties together the vision system, the chess engine, and the robotic arm.

- Python’s flexibility and power allow for seamless communication between components and provide a robust framework for further development.

## Project Workflow

1. **YOLOv5** detects the chess pieces and their positions on the board.

2. The detected positions are passed to the **Stockfish** engine, which calculates the best move based on the current game state.

3. The **RT Toolbox** executes the move by controlling the robotic arm to position the chess pieces accurately.

## Conclusion

The **AutomatedChessRobot** showcases the integration of AI and robotics to create a fully autonomous chess-playing system. By combining advanced detection algorithms, a powerful chess engine, and precise robotic control, this project offers an exciting glimpse into the future of automated systems in gaming.

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This project is an ongoing development, and contributions are welcome. Feel free to explore, contribute, or reach out with any suggestions or questions.