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How to run the synthetic fly-brain demo without hardware with Flybrain Robot Bridge

Clone the repo and watch the mock neural backend turn synthetic frames into motor commands.

  • Top pick
  • Research
  • Intermediate
  • 15 minutes
  • From the README
  • Any agent

Who it is forA developer or student curious about camera-to-robot signal flow who has no robot, camera or connectome data on hand.

The problemUnderstanding how vision, IMU and motor signals move through the bridge is hard without running it.

The outcomeA terminal run of 300 synthetic frames showing motion, looming, IMU freshness, motor activity, commands and watchdog state, with nothing sent to a robot.

What you need first

  • Python 3.11 or newer
  • git and a terminal
  • A webcam or a video file, optional, for live or recorded input
  • A calibrated robot, network link and independent motor power cutoff, only if you plan to use --send

Steps

  1. Clone the repo with git clone https://github.com/Himas1211/flybrain-robot-bridge.git and enter the folder with cd flybrain-robot-bridge.
  2. Create and activate a virtual environment with python3.11 -m venv .venv and source .venv/bin/activate.
  3. Install the project with pip install -e ".[dev]".
  4. Run the default demo with python -m flybrain_robot.main --backend mock --synthetic.
  5. Check that the run ends after about 300 frames and that no network or camera was needed.

Prompt for your agent

Clone https://github.com/Himas1211/flybrain-robot-bridge, create a Python 3.11 virtual environment, install it with pip install -e ".[dev]", and run python -m flybrain_robot.main --backend mock --synthetic. Report the final motor commands and watchdog state. Verify that the run finishes without opening a network connection or camera.

Caveat. The synthetic run is a signal-flow demo and its printed Hz is a simulation rate, not a performance benchmark or robot physics result.

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