Search is not available for this dataset
video video 1.03 28.4 | label class label 2
classes |
|---|---|
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base | |
0observation.images.base |
End of preview. Expand in Data Studio
FARM UF850 — Pick-and-Place with a UFactory UF850
LeRobot-format dataset of teleoperated single-arm manipulation collected on a UFactory UF850 (6-DoF arm with parallel gripper) using a Meta Quest as the teleop controller. 66 episodes spanning 17 distinct natural- language tasks, primarily cube manipulation (pick the cube and place on a box) including occlusion and failure-recovery scenarios.
Collected with the FARM edge agent (repository) as a CS153 final project.
Quick stats
| Episodes | 66 |
| Total frames | 25,803 |
| Duration | 14.3 min |
| Episode length (median) | 12 s |
| FPS | 30 |
| Robot | UFactory UF850, 6-DoF + parallel gripper (7-D state/action) |
| Cameras | 2 × Intel RealSense D435 (base + wrist), 640×480, h264 |
| Unique tasks | 17 |
| Format | LeRobot v2.0 |
State / action space
7-dim float32 in both observation.state and action:
| idx | name | unit | range |
|---|---|---|---|
| 0 | joint1 | rad | ~[-0.94, 0.83] |
| 1 | joint2 | rad | ~[-1.45, -0.07] |
| 2 | joint3 | rad | ~[-1.88, -0.18] |
| 3 | joint4 | rad | ~[-2.71, 2.22] |
| 4 | joint5 | rad | ~[ 0.26, 1.82] |
| 5 | joint6 | rad | ~[-1.18, 0.78] |
| 6 | gripper | 0 (open) → 1 (closed) | observed 0.0–0.39 |
action[t] = observation.state[t+1]; the final frame's action repeats the
final state so chunks line up.
Tasks
All descriptions are imperative, lowercase, no terminal punctuation.
| idx | n_episodes | task |
|---|---|---|
| 0 | 4 | pick up the rubiks cube from the yellow side and place it on the box |
| 1 | 3 | pick up the rubiks cube from the white side and place it on the box |
| 2 | 1 | pick up the rubiks cube from the yellow side, drop it, then pick it up and place it on the box |
| 3 | 1 | pick up the rubiks cube from the right side and place it on the box |
| 4 | 30 | pick up the cube and place it on the box |
| 5 | 1 | see the cube behind the box, push the box sideways, then pick up the cube and place it on the box |
| 6 | 1 | pick up the cube from the right side and place it on the box |
| 7 | 2 | pick up the cube and place it on the box but it falls off, then pick it up and place it on the box |
| 8 | 5 | see the cube behind the box, pick up the box and move it aside, then pick up the cube and place it on the box |
| 9 | 1 | pick up the cube and place it on the box, knock it off while moving away, then pick it up and place it on the box |
| 10 | 3 | pick up the cube, drop it while placing it on the box, then pick it up and place it on the box |
| 11 | 1 | pick up the cube and misplace it so it falls off, then pick it up and place it properly on the box |
| 12 | 1 | pick up the cube from behind the box and place it on the box |
| 13 | 1 | pick up the cube, drop it by accident, then pick it back up and place it on the box |
| 14 | 5 | pick up the box, see no cube under it, then place the box back down |
| 15 | 3 | pick up the box and place it back down |
| 16 | 3 | pick up the box, find a cube under it, place the box aside, pick up the cube, then place it on the box |
Layout
farm_uf850/
├── meta/
│ ├── info.json # LeRobot v2.0 manifest
│ ├── episodes.jsonl # one row per episode {episode_index, tasks, length}
│ ├── tasks.jsonl # one row per task {task_index, task}
│ └── stats.json # per-feature mean/std/min/max
├── data/chunk-000/
│ └── episode_NNNNNN.parquet ×66
└── videos/chunk-000/
├── observation.images.base/ # h264 mp4 ×66
└── observation.images.wrist/ # h264 mp4 ×66
Usage
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("YOUR_USERNAME/farm_uf850") # streams from the Hub
print(ds.num_episodes, ds.num_frames, ds.fps) # 66, 25803, 30
sample = ds[0]
sample["observation.state"].shape # torch.Size([7])
sample["observation.images.base"].shape # torch.Size([3, 480, 640])
sample["task"] # natural-language task string
Collection notes
- Hardware: UF850, 2× D435 (base + wrist), Meta Quest 2 controller, Mac mini host.
- Teleop: VR controller pose → Quest publishes ROS-TCP → laptop bridge → IK → UF850 joint commands. Per-joint One-Euro filter on the joint stream.
- Data captured at 30 Hz with motion-scaled controller input (
motion_scaleconfigurable 0.2×–4× per session). - Frames where the cam subprocess returned a duplicate (cached) JPEG have been excluded by re-recording — the 41 demos collected before the camera FPS fix are not in this release.
- Saved data reflects the smoothed physical robot motion, not the unsmoothed digital-arm target (encoder reads from the UF850 SDK at 250 Hz, snapshotted into frames at 30 Hz).
- Downloads last month
- 525