pick_place_v2 / README.md
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---
task_categories:
- robotics
tags:
- lerobot
- so101
- so-arm100
- imitation-learning
- pick-and-place
---
# SO101 pick_place_v2 — two-camera (front + wrist) demonstrations
Teleoperated pick-and-place demonstrations on an **SO101** follower arm
(leader→follower teleop), **LeRobot v3.0** format. Successor to
[`Dillonjohnson/pick_place`](https://huggingface.co/datasets/Dillonjohnson/pick_place):
the v1 policy trained on a single front camera executed the full task sequence but
missed the grasp by ±1–2 cm (1/8 grasps) — an error the front camera cannot see.
v2 re-records the task with an added **wrist camera** for grasp-phase observability.
- **Task string:** "Pick up the cube and place it in the bin" — NOTE: the object is
actually a **~7 cm blue puck** (outside-wrap grasp); the string is inherited from v1.
- **Episodes:** 45 · **Frames:** 31,063 · **FPS:** 30
- **Robot:** so_follower (6-DOF: shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper)
- **Cameras:** `observation.images.front` (fixed scene view) + `observation.images.wrist`
(jaws + table) — both 1280×720, stored as video (AV1)
- **Action / state:** 6-D joint positions (degrees)
## Composition (recorded 2026-07-21, one session, fixed scene)
| episodes | content |
|---|---|
| 0–35 | clean picks, puck start position deliberately varied (~18×18 cm region) |
| 36–40 | rim-recovery: grasp initially catches the rim, operator recovers |
| 41–42 | mid-descent displacement: puck moved during the reach, operator re-targets |
| 43–44 | low-light variants (scene brightness 113 vs the session's 170) |
Start pose: episode-mean `[-40.1, -100.6, 96.5, 72.4, -4.8, 1.4]` deg
(pan/lift/elbow/wrist_flex/roll/grip), pan σ 7.6° across episodes.
Demos hold the puck at gripper position 26–36 while carrying; a close ending
below ~20 means the jaws missed the puck body (useful as a rollout verdict signal).
## Known warts (verified harmless for training)
- **ep28**: the video window carries ~2.5 s of orphan frames from a redo at its tail —
the recorder's discard drops parquet rows but not already-encoded frames. Kept takes
sit at the window head; training decode is unaffected.
- **eps 0–2**: videos re-encoded near-all-intra AV1 (~5× bulkier, decode fine) as a
side effect of deleting a junk episode via `lerobot-edit-dataset`.
## Train (ACT, the v2 config actually used)
```bash
lerobot-train \
--policy.type=act --policy.device=cuda --policy.push_to_hub=false \
--dataset.repo_id=Dillonjohnson/pick_place_v2 --dataset.video_backend=pyav \
--dataset.image_transforms.enable=true \
--batch_size=8 --steps=150000 --save_freq=10000 --num_workers=8 \
--output_dir=outputs/train/act_pick_place_v2 --job_name=act_pick_place_v2 \
--wandb.enable=false
```
Trained models live in
[`Dillonjohnson/act_pick_place`](https://huggingface.co/Dillonjohnson/act_pick_place)
(`ckpt-v2-last`). Two 720p streams cost ~2.7× v1's per-step time; CPU inference is
~1.05 s/chunk vs 0.34 s single-cam.