Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

feagi_agent_mycobot-0.0.6.tar.gz (14.2 kB view details)

Uploaded Source

Built Distribution

feagi_agent_mycobot-0.0.6-py3-none-any.whl (15.7 kB view details)

Uploaded Python 3

File details

Details for the file feagi_agent_mycobot-0.0.6.tar.gz.

File metadata

  • Download URL: feagi_agent_mycobot-0.0.6.tar.gz
  • Upload date:
  • Size: 14.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for feagi_agent_mycobot-0.0.6.tar.gz
Algorithm Hash digest
SHA256 a9dd7e23e383478ca91e636d11c14e808b4c79f41e98e57fb4d9cc8f26ed1884
MD5 1284bdfec6abc083dae2a6eb204c190c
BLAKE2b-256 c66b080e9c14151fef07b12d7ce4298f1f596905da058e1d8d2fc439f31e5cc7

See more details on using hashes here.

File details

Details for the file feagi_agent_mycobot-0.0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for feagi_agent_mycobot-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 3851c5588cc44c6307f5c0be9a5f0b08ac9dc000d5f042739d844d8b28d3407e
MD5 52cab2399f6ec84b191c10c4b88698b9
BLAKE2b-256 d9fcd341af3a1d06d1a6cd8517b8b4e2bad2d825bd520c92f6f185bd6dcc4c48

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page