harvard-edge/airlearning-ue4

Environment Generator for Air Learning Project. This version is build on top of UE4 game engine

34
/ 100
Emerging

This tool helps researchers and engineers create custom virtual training grounds for autonomous drones and aerial robots. You input parameters like arena size, obstacle count, and goal positions, and it generates a realistic 3D simulation environment. The primary users are researchers developing and testing reinforcement learning algorithms for unmanned aerial vehicles (UAVs).

No commits in the last 6 months.

Use this if you need to rapidly generate diverse, customizable simulation environments to train and evaluate AI navigation policies for drones.

Not ideal if you're looking for a simple drone flight simulator for entertainment or basic skill practice, as this tool is specifically for AI training environments.

drone-robotics reinforcement-learning unreal-engine-simulation autonomous-navigation AI-testing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 18 / 25

How are scores calculated?

Stars

51

Forks

16

Language

C++

License

Category

unreal-engine-ml

Last pushed

Jul 19, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/harvard-edge/airlearning-ue4"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.