README.md

metadata

title: Neuro Flyt Training
emoji: 🚁
colorFrom: blue
colorTo: indigo
sdk: docker
pinned: false

Project Neuro-Flyt 3D

Goal: Build a verifiable 3D Drone Control verification demo using Liquid Neural Networks.

Installation

1. Clone the repository (if you haven't already).
2. Install dependencies:

   pip install -r requirements.txt
   

   Note: You may need to install opensimplex and ncps manually if they are not in requirements.txt yet.

   pip install opensimplex ncps
   

Usage

Run the Demo

To launch the 3D visualization with the "Antigravity" hurricane effect:

./run_demo.sh

Verify Physics

To verify that the wind field is generating non-zero forces:

python test_physics.py

Project Structure

• env/drone_3d.py: Custom PyFlyt environment with 3D Perlin noise wind field.
• models/liquid_ppo.py: PPO agent with LTC (Liquid Time-Constant) feature extractor.
• demo_3d.py: Main visualization script.