ilo-arena 1.0.2.post1

A computer vision and hardware streaming interface for education

ilo_arena

ilo_arena is a computer vision and hardware streaming interface designed for education. It provides a powerful Python package to control ilo, the new educational robot, directly from your computer based on a video feed using AI to track the robot.

It allows you to move the robot, read sensors, interact with LEDs, and create autonomous behaviors—all in just a few lines of Python.

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🌟 Features

• Automatic Connection: Seamlessly connect to robots detected in the camera's field of view.
• AI Element Detection: Automatically detect and track elements (robots, boxes, etc.) using YOLO vision models.
• Intuitive Movement: Move the robot in multiple directions using Python commands and create complex movement loops.
• LED Matrix Control: Draw and animate using the robot's LED matrix.
• Real-time Play: Interact with the robot in real time using your keyboard.
• Sensor Integration: Control and read sensors wirelessly over Bluetooth.
• Built-in Studio UI: Includes a graphical interface for training custom AI models and visualizing inference streams.

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⚙️ Installation and Updates

ilo_arena requires Python 3.8 or higher. You can install it easily using pip.

Install the package

pip install ilo_arena

Update to the latest version

pip install ilo_arena --upgrade

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🚀 How to Run

1. Launching the AI Training program

The package comes with a built-in graphical application that lets you train YOLO models. To launch the UI, simply run the following command in your terminal:

ilo_train_ai

2. Running a Custom Robot Script

To control the robot programmatically, write your logic in a Python file and run it using Python:

python your_script.py

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💻 Code Example

Here is a simple example to get you started. This script initializes the arena, finds detected elements, and commands the robot to perform a simple movement sequence.

from ilo_arena import Robot, Arena, start_arena, Element

def my_robot_logic(arena: Arena):
    while True:
        try:
            # Fetch all items detected by the AI in the camera view
            elements: list[Element] = arena.get_all_elements()
            
            for element in elements:
                # Attempt to get the connected robot associated with this element
                robot: Robot | None = element.get_robot(element._id)
                
                if robot is not None:
                    # Move forward
                    robot.move("front", 45, 100)
                    arena.sleep(2.0)
                    
                    # Rotate 90 degrees
                    robot.rotation(90, finish_state=True)
                    
                    # Move backward
                    robot.move("back", 70, 100)
                    arena.sleep(2.0)
                    
                    # Stop the robot
                    robot.stop()
                    arena.sleep(1.0)
                    
        except Exception as e:
            print(f"Error encountered: {e}")
            
        # Yield time to the background thread
        arena.sleep(0.1)

if __name__ == "__main__":
    # Start the arena and run the logic in a background thread
    start_arena(my_robot_logic)

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📚 Documentation

The physical control of the robot heavily depends on the underlying ilo library. For advanced hardware interactions, refer to the ilo documentation.

To have a list of all available function, you can use

import ilo_arena

ilo_arena.list_function()

🤝 Contributing

Bug reports, patches, and suggestions are welcome! Questions? Contact us via our website.