MadmanMischief/act_candy_sort_grid
Robotics • 51.7M • Updated • 2
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).
New demos with candies spread on a taped 3x4 grid and the phone moved to a new position (phonecam app, 640x360), to stop grasps collapsing onto the average demo pose: 71 episodes, 27,956 frames, half resolution.
Models trained on it: act_candy_sort_grid, smolvla_candy_grid
from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("MadmanMischief/so101_candy_grid")
lerobot-train --dataset.repo_id=MadmanMischief/so101_candy_grid --policy.type=act --policy.repo_id=<you>/<model>
{
"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": 71,
"total_frames": 27956,
"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": "0:71"
}
}
BibTeX:
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