up-down_20261023_222555

Early return-to-start recording — not a sorting demonstration.

Part of a quality-control pipeline built at the Robotekin LeRobot Hackathon 2026: an SO-101 arm picks a metal part, a vision model checks whether it has a pin, and a sorting policy drops it in the green box (with pin) or the white box (without pin). This dataset belongs to Warm-up recording (before the final task definition).

Naming note: good / bad describe the part, not the quality of the demonstration. GOOD = part with a pin → green box. BAD = part without a pin (defective) → white box. up-down-bad_* datasets are successful demonstrations of carrying a defective part to the white box. No failed or negative demonstrations were intentionally recorded. Other informal names: so101-pick-cube_* contains the metal bracket, not a cube, and up-down_* is the GOOD-box sorting task (except the 23 October sessions, see below).

What this dataset contains

Recorded on 23 October, before the sorting task existed. Despite the up-down name and the stored task string "Move the robot up and down", the episodes are the arm's return trip to the start pose; they do not carry a part to a box. These sessions have no meta/recording_notes.json, are left out of the GOOD-box training data, and are not related to the GOOD/BAD classification.

Stored task	"Move the robot up and down"
Episodes	5 (744 frames, 24.8 s in total)
Recorded	2026-10-23 22:25
Frame rate	30 fps
Cameras	observation.images.front, observation.images.wrist (640x480 RGB)
State / action	observation.state / action, 6 values each
Object locations	not recorded (no meta/recording_notes.json)

How it was used

• Training data of the first experiment, pick_v0_mixed in MikelRubi/act-pick (pick and return trips mixed in one policy, superseded).

Pipeline

tray  ──► act-pick ──► part held up to the camera ──► pin-classifier ──┬─ pin    (GOOD) ──► act-up-down-good ──► green box
                                                                      └─ no pin (BAD)  ──► act-up-down-bad  ──► white box

Related models: MikelRubi/act-pick → MikelRubi/pin-classifier → MikelRubi/act-up-down-good | MikelRubi/act-up-down-bad. Project page: MikelRubi/robotekin-so101-pin-sorting. On the robot the stages are chained by the team's demo app (30_full_demo_app.py); during recording the operator chose the box after looking at the part. The box for each result is set by the operator's order; the usual order is shown above.

Recording setup

• Robot: SO-101 follower arm (LeRobot so_follower, 6 joints including the gripper), teleoperated with an SO-101 leader arm (leader/follower). The policies never see the leader; action is the leader position sent to the follower.
• Cameras: two USB RGB cameras, front (fixed overhead camera looking down at the tray) and wrist (mounted on the gripper).
• Joints (state and action, same order): shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper. Arm joints in degrees, gripper 0–100 (LeRobot SO-101 calibration).
• Format: LeRobot dataset v3.0, H.264 video. Recorded on 23–24 October 2026 at the Robotekin LeRobot Hackathon (Robotory, Vitoria-Gasteiz).

Known limitations

• A single short recording session in one room and lighting setup. No success labels are stored: every saved episode is treated as a successful demonstration.
• Camera models and their exact mounting positions are not documented in the dataset.

Acknowledgements

Recorded by Iker Azurmendi, Mikel Zulueta, Ander Autillo and Diego Suarez during the Robotekin LeRobot Hackathon 2026 (23–25 October 2026, Vitoria-Gasteiz). Thanks to Bravo Robots and to Robotekin for the hackathon, to Hugging Face for LeRobot, and to everyone who took part in it.