webxos/drone_fsd_dataset

   

Drone FSD Dataset

A Single Sample training run of: 1 epoch, 4 iterations, 198 steps in drone navigation in a 60×60 room with 15 static + 12 floating obstacles.

This dataset was generated with the MIRROR IDE by webXOS. Download the app in the /mirror/ folder to train your own similar datasets.

Final performance (after 2456 frames):

• —Best time: 43.821 s
• —Success rate: 0.0% (reached SE corner in best run but did not complete full pattern)
• —Collisions: 0 in final recorded path
• —Avg reward: 0.0732
• —Cumulative reward: 49.24
• —Final exploration rate: 0.784
• —Final learning rate: 5.40e-4
• —

Intended Use:

• —Analyze early-stage PPO behavior on 3D continuous control
• —Study exploration vs exploitation trade-off (ε still ~78% at end)
• —Visualize drone trajectories in Three.js / Unity / similar
• —Baseline for future drone racing / obstacle avoidance models

Network:

• —Architecture: [256 → 128 → 64 → 32] (MLP policy/value heads)
• —Exported: 2026-01-17 03:32 UTC

Files:

Environment:

• —Room: 60 units
• —Difficulty: 1
• —Obstacles: 15 static + 12 floating (0.2–0.5 speed, bounce energy 0.8)
• —Pattern targets: NW → SE → NE → SW → CENTER
• —Reward: mostly distance-based + small shaping

License:

MIT