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RC Car Self-Driving Dataset
A LeRobot v3.0 dataset for training imitation learning policies on an RC car. Recorded via a remote operator interface over LiveKit, with a single front-facing camera and keyboard controls.
Dataset Details
| Property | Value |
|---|---|
| Robot | RC car |
| FPS | 30 |
| Episodes | 10 |
| Total frames | 21,949 (~12 min) |
| Resolution | 320x180 |
| Task | drive |
Features
- observation.images.camera — front-facing RGB video (320x180, h264)
- observation.state — previous frame's controls (6-dim float):
[forward, backward, left, right, speed, brake] - action — current controls (6-dim float):
[forward, backward, left, right, speed, brake]
Usage
from lerobot.datasets.lerobot_dataset import LeRobotDataset
dataset = LeRobotDataset("binhpham/driving-dataset")
Train with ACT policy
uv run lerobot-train --dataset binhpham/driving-dataset --policy act --steps 50000 --device mps
Format
LeRobot v3.0 dataset format. See LeRobot documentation for details.
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