123qwe55aa/my_rover_scripted_smoke

This dataset was created using LeRobot.

Dataset Description

Public personal research dataset from the lerobot-lab rover project.

• Source: simulated MyRover / synthetic green-goal experiment.
• Robot type: my_rover.
• Episodes: 2; frames: 170; nominal FPS: 30.
• Format: LeRobot v3.0; created/checked using installed LeRobot 0.6.2.
• Image feature: observation.images.front; see meta/info.json for dimensions and encoding.
• Action: [x.vel, y.vel, theta.vel], in [m/s, m/s, degrees/s] (body frame: forward, left, counterclockwise yaw).

Meaning of observation.state

observation.state contains the previous sent body-velocity command, in the same order and units as action. It is not measured wheel encoder velocity and is not body velocity reconstructed from encoders. Observation is collected before sending the current action. Do not describe this feature as measured proprioception.

Dataset purpose

A historical collection/training-stage snapshot; dataset existence alone is not proof of reliable autonomous navigation.

This is simulated/test data, not a physical rover demonstration.

License and visibility

Publicly accessible personal research archive. No redistribution license is granted by this upload. The LeRobot software license does not automatically license these recordings.

Payload verification

meta/, data/ and videos/ were uploaded intact and verified against local SHA256 hashes. Local validation checks episode metadata/frame totals and first/last sample loading; it is not a task-success certification.

• Homepage: [More Information Needed]
• Paper: [More Information Needed]
• License: [More Information Needed]

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 30,
    "features": {
        "observation.state": {
            "dtype": "float32",
            "shape": [
                3
            ],
            "names": [
                "x.vel",
                "y.vel",
                "theta.vel"
            ]
        },
        "observation.images.front": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                3
            ],
            "names": [
                "x.vel",
                "y.vel",
                "theta.vel"
            ]
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    },
    "total_episodes": 2,
    "total_frames": 170,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": "my_rover",
    "splits": {
        "train": "0:2"
    }
}

Citation

BibTeX:

[More Information Needed]