What do you want to do?
3 use cases
-
Run the synthetic fly-brain demo without hardware
Clone the repo and watch the mock neural backend turn synthetic frames into motor commands.
- Flybrain Robot Bridge
- Research
- Intermediate
View prompt
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.
-
Test motion and looming output from a webcam or video
Feed a webcam or your own video into the mock backend in dry-run mode to inspect vision signals.
- Flybrain Robot Bridge
- Research
- Intermediate
View prompt
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.
-
Calibrate a physical robot link in safe steps
Set motor limits and send commands to a lifted robot only after dry-run checks pass.
- Flybrain Robot Bridge
- Research
- Advanced
View prompt
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.
How to use Flybrain Robot Bridge
- Check you have what it needs: Python 3.11 or newer; git and a terminal; A webcam or a video file, optional, for live or recorded input.
- Open Frankweb33/flybrain-robot-bridge on GitHub and read the README and license.
- Clone the repo with
git clone https://github.com/Himas1211/flybrain-robot-bridge.gitand enter the folder withcd flybrain-robot-bridge. - Create and activate a virtual environment with
python3.11 -m venv .venvandsource .venv/bin/activate. - Install the project with
pip install -e ".[dev]". - Run the default demo with
python -m flybrain_robot.main --backend mock --synthetic.
These steps come from our top use case, Run the synthetic fly-brain demo without hardware, which also has a copy-paste agent prompt.
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About this repo
- Who it is forRobotics hobbyists and researchers who want to explore fly-inspired control signals safely in simulation before any hardware is involved.
- Why it is hot
- LanguagePython
- Sourcegithub.com/Frankweb33/flybrain-robot-bridge · Back to Hot repos
Requirements
- 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
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Questions about Flybrain Robot Bridge
What is 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. It is an open-source project on GitHub: https://github.com/Frankweb33/flybrain-robot-bridge.
Who is Flybrain Robot Bridge for?
Robotics hobbyists and researchers who want to explore fly-inspired control signals safely in simulation before any hardware is involved.
What can I do with Flybrain Robot Bridge?
3 use cases so far, for example: Run the synthetic fly-brain demo without hardware; Test motion and looming output from a webcam or video; Calibrate a physical robot link in safe steps. Each has steps and a copy-paste agent prompt.
What do I need to run Flybrain Robot Bridge?
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.
What are alternatives to Flybrain Robot Bridge?
Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.
Is Flybrain Robot Bridge safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.