# AI use cases for Flybrain Robot Bridge (Frankweb33/flybrain-robot-bridge)

Repo: [Frankweb33/flybrain-robot-bridge](https://github.com/Frankweb33/flybrain-robot-bridge) | Use cases: 3 | Page: https://dedupedai.com/use-cases/frankweb33-flybrain-robot-bridge/

A Python experiment that connects a camera, a small hand-designed fly-inspired neural model, and a UDP link to a physical robot, with a dry-run mode by default.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Run the synthetic fly-brain demo without hardware: https://dedupedai.com/use-cases/frankweb33-flybrain-robot-bridge/run-synthetic-fly-brain-demo/
- Test motion and looming output from a webcam or video: https://dedupedai.com/use-cases/frankweb33-flybrain-robot-bridge/test-bridge-with-webcam-or-video/
- Calibrate a physical robot link in safe steps: https://dedupedai.com/use-cases/frankweb33-flybrain-robot-bridge/calibrate-robot-link-in-safe-steps/

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

Repo: [Frankweb33/flybrain-robot-bridge](https://github.com/Frankweb33/flybrain-robot-bridge) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

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

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

**The problem:** Understanding how vision, IMU and motor signals move through the bridge is hard without running it.

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

### 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 to paste into your agent

```text
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.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/frankweb33-flybrain-robot-bridge/run-synthetic-fly-brain-demo/

## How to test motion and looming output from a webcam or video with Flybrain Robot Bridge

Repo: [Frankweb33/flybrain-robot-bridge](https://github.com/Frankweb33/flybrain-robot-bridge) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Feed a webcam or your own video into the mock backend in dry-run mode to inspect vision signals.

**Who it is for:** A researcher or hobbyist who wants to see how real camera motion affects the model's motion and looming groups before any robot is connected.

**The problem:** Synthetic frames do not show how real lighting, camera motion or frame rate change the optical-flow signals.

**The outcome:** Terminal output of motion, looming and motor activity driven by real footage, with dry-run keeping all commands local.

### Steps

1. Complete the setup from the synthetic demo so the package is installed in an active virtual environment.
2. Run the webcam mode with `python -m flybrain_robot.main --backend mock --camera 0 --dry-run`.
3. Or run your own footage with `python -m flybrain_robot.main --backend mock --video /path/to/your/video.mp4 --dry-run`.
4. Watch the looming and motion values and note how they change when the camera or scene moves.

### Prompt to paste into your agent

```text
In the flybrain-robot-bridge repo, run python -m flybrain_robot.main --backend mock --video <path-to-video.mp4> --dry-run on the file at <path-to-video.mp4>. Report the motion, looming and motor activity values over the run. Verify that the output shows dry-run and that no UDP packets were sent.
```

### Caveat

The README says looming is a center-relative optical-flow heuristic that is sensitive to camera motion, lighting and frame rate, and webcam hardware is untested.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/frankweb33-flybrain-robot-bridge/test-bridge-with-webcam-or-video/

## How to calibrate a physical robot link in safe steps with Flybrain Robot Bridge

Repo: [Frankweb33/flybrain-robot-bridge](https://github.com/Frankweb33/flybrain-robot-bridge) | Difficulty: Advanced | Time: 1 hour | Basis: From the README

Set motor limits and send commands to a lifted robot only after dry-run checks pass.

**Who it is for:** A robotics builder with a lifted test robot and an Atom Matrix board who wants to try the UDP link.

**The problem:** Sending commands to a real robot without limits, a watchdog or a power cutoff can damage equipment or injure people.

**The outcome:** A config.yaml with calibrated limits and a single supervised --send run, after the firmware hooks are confirmed to be implemented.

### Steps

1. Confirm the firmware hooks are implemented, since the README says the firmware is disarmed until they are.
2. Run `python -m flybrain_robot.main --synthetic --dry-run --steps 20` and check the output.
3. Copy the example config with `cp config.example.yaml config.yaml` and set robot_ip, pc_port, robot_port and calibrated motor limits.
4. With the robot lifted off the ground and an independent motor power cutoff ready, run `python -m flybrain_robot.main --camera 0 --config config.yaml --send`.
5. Stop the run with Ctrl+C and confirm the best-effort stop packet and the robot's own 500 ms watchdog halt the motors.

### Prompt to paste into your agent

```text
In the flybrain-robot-bridge repo, copy config.example.yaml to config.yaml and set robot_ip, pc_port, robot_port and motor limits from the values I give you for <robot-ip>. Run the dry-run checks first and report the output. Do not run with --send unless I confirm the robot is lifted and the power cutoff is in place.
```

### Caveat

The README says the UDP link has no authentication, reliability or replay protection, and no hardware test has been performed, so the physical link is untested.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/frankweb33-flybrain-robot-bridge/calibrate-robot-link-in-safe-steps/