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Feagi agent mycobot to connect feagi with your cobot arm

Project description

Quick start using feagi_agent

  1. git clone https://github.com/feagi/feagi.git
  2. cd feagi/docker
  3. docker compose -f feagi.yml build
  4. Wait until #3 step is complete.
  5. docker compose -f feagi.yml up
  6. load it in your preferred browser: http://localhost:3000/genome/mode
  7. Click Sample Genomes
  8. See Gazebo and brain activity loaded. Feel free to play with your robot!

Any issue? Needs detailed documentation about docker? Deployment documentation

Where is feagi_agent?

feagi_agent allows you to integrate with our FEAGI with your preferred robots. feagi_agent has been tested on freenove_smart_car, Gazebo, Godot, Tello, and Psychopy. You can use it on your computer or docker.

What is inside feagi_agent?

There are two large library: feagi_interface and retina. feagi_interface.py handles the bridge between your project and FEAGI. It allows FEAGI to communicate/controls your robot. retina.py is the vision where it can see things through any type of camera.

configuration.py is REQUIRED

You will need to have your own configuration where you can adjust setting to see the different results. If you don't have one, use the template below:

app_name = 'embodiment'

network_settings = {
    "feagi_host": "feagi",
    "feagi_api_port": "8000",
    'TTL': 2,
    'last_message': 0,
}

capabilities = {
    "vision": {
        "type": "ipu",
        "disabled": False,
        "count": 1,
        "width": 8,
        "height": 8,
        "deviation_threshold": 0.05,
        "retina_width_percent": 60,
        "retina_height_percent": 40,
        "central_vision_compression": [64, 64],
        "peripheral_vision_compression": [8, 8],
        "previous_data": {}
    }
}

message_to_feagi = {"data": {}}

See examples here:

Tello's configuration

Freenove_smart_car

Gazebo

Where is feagi_agent being used?

It is being used in python code.

Just install through pip.

Windows: pip install feagi-agent

Linux/Mac: pip3 install feagi-agent

and after that, you can just use from feagi-agent import feagi_interface

See examples: Tellos' code

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