Episodes Preview SO-101 Visualizer
35 episodes · 30 fps · 2 cameras · 640×360 av1

SO101 candy sort — 35 real demos, half resolution (early version)

Task: teach an SO101 arm (leader/follower teleoperation) to pick the blue candies out of a mixed blue and green pile and drop them on a towel. Language prompt: "pick up the blue candy". Built during the B1S Hacktober Physical AI 2026 hackathon with LeRobot 0.6.2.

Robot: SO101 follower, 6 joints (pan, lift, elbow, wrist flex, wrist roll, gripper) at 30 Hz. Cameras: wrist (USB webcam on the gripper) and phone (Android phone beside the table).

The 30 first demos shrunk to half resolution (wrist 320x240, phone 640x360) plus the first new half-res recordings: 35 episodes, 9,932 frames. Superseded by so101_candy_sort_half_127.

Models trained on it: act_so101_candy_sort_half

Use with LeRobot

from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("MadmanMischief/so101_candy_sort_half")
lerobot-train --dataset.repo_id=MadmanMischief/so101_candy_sort_half --policy.type=act --policy.repo_id=<you>/<model>

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 30,
    "features": {
        "action": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.images.wrist": {
            "dtype": "video",
            "shape": [
                240,
                320,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 240,
                "video.width": 320,
                "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": {}
            }
        },
        "observation.images.phone": {
            "dtype": "video",
            "shape": [
                360,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 360,
                "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": {}
            }
        },
        "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": 35,
    "total_frames": 9932,
    "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": "so_follower",
    "splits": {
        "train": "0:35"
    }
}

Citation

BibTeX:

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Models trained or fine-tuned on MadmanMischief/so101_candy_sort_half