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so101_pick_diverse_objects_hil_round1
Dataset Description
This dataset contains Human-in-the-Loop (HIL) correction episodes collected on the SO-101 robot arm pair using the HG-DAgger style data collection script hil_record_act.py.
The collection procedure is as follows:
- An ACT policy previously trained on teleoperation demonstrations is deployed to autonomously drive the follower arm.
- Whenever the policy makes an error or is about to fail, a human operator presses SPACE to take over and correct the trajectory with the leader arm.
- All frames — both autonomous and intervention frames — are recorded, with intervention frames tagged as
is_intervention = 1.
This iterative correction loop follows the HG-DAgger paradigm: the robot attempts the task independently, and human intervention data is collected only when and where the policy struggles, making data collection efficient and targeted.
Task
Pick diverse objects — the robot arm picks up a variety of objects placed on a tabletop. Multiple task prompts (e.g., "Pick the red cube.", "Pick a pen.") are supported; the task string is assigned at the start of each episode.
Dataset Statistics
| Property | Value |
|---|---|
| Number of episodes | 51 |
| Total size | ~199 MB |
| Image resolution | 640 × 480 px |
| Format | imagefolder (Parquet-converted) |
Related Resources
| Resource | Link |
|---|---|
| Policy trained on this dataset | TakuyaHiraoka/act_so101_pick_diverse_objects |
| Data collection script & full pipeline | TakuyaHiraoka/LeRobot-Playground |
Hardware
- Robot: SO-101 leader–follower arm pair
- Camera: USB or IP/MJPEG stream (640 px wide)
- Framework: LeRobot
== 0.4.4
Data Collection Procedure
The dataset was collected using hil_record_act.py from LeRobot-Playground. Refer to the repository README for the full command-line interface and pipeline diagram.
Key keyboard controls during recording:
| Key | Action |
|---|---|
SPACE |
Toggle human intervention mode |
s |
Save current episode as success |
r |
Discard and re-record |
q |
End the session |
Example launch command:
python hil_record_act.py \
--follower_port /dev/ttyACM1 --follower_id <follower-id> \
--leader_port /dev/ttyACM0 --leader_id <leader-id> \
--camera_url "http://<camera-host>:8080" \
--policy_path <path-to-pretrained-act> \
--repo_id TakuyaHiraoka/so101_pick_diverse_objects_hil_round1 \
--tasks "Pick the red cube." \
--num_episodes 20 --episode_time_s 10 --reset_time_s 5 --fps 30
License
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