Datasets:
RealRobot push-blocks 🦾
Real-world Franka FR3 cube-pushing demonstrations with language instructions, collected by replaying simulated expert trajectories open-loop on hardware rather than by teleoperation. Each real recording is paired with the simulated trajectory that produced it, so the dataset also serves as a measurement of the sim-to-real gap.
📝 A Sim-to-Real Integration Pipeline for Training and Deployment of Chunk-Based VLA Manipulation Policies (ISIR, Sorbonne Université / CNRS). Pipeline source: https://gitlab.isir.upmc.fr/kappel/sim2real_public_chunk_control/
At a glance 👁️
Example : Push the red block left

| Episodes | 200 (50 per task) |
| Frames | 11,267 |
| Episode length | 49–64 frames |
| Robot | Franka FR3, single arm |
| Camera | Orbbec Femto Bolt RGB, fixed, native 1000×1000 |
| Format | LeRobot v3.0 |
Tasks
Four language-conditioned combinations of two motions and two target objects:
Push the red block leftPush the red block rightPush the blue block leftPush the blue block right
The instruction string is stored per frame as the LeRobot task field.
Data fields
observation.state — shape (6,), float32
Absolute end-effector pose in the robot base frame, which is also the world frame origin in both the simulated and real setups.
| index | name | meaning |
|---|---|---|
| 0–2 | x, y, z |
end-effector position, metres |
| 3–5 | rx, ry, rz |
end-effector orientation |
action — shape (7,), float32
End-effector deltas, not absolute poses. Applied cumulatively to the current pose to obtain the next target frame.
| index | name | meaning |
|---|---|---|
| 0–2 | dx, dy, dz |
translation increment, metres |
| 3–5 | drx, dry, drz |
orientation increment, same convention as state |
| 6 | gripper |
binary command |
observation.images.static — (H, W, 3) uint8, H.264
Fixed third-person RGB view. Native capture is 1000×1000.
Loading
from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("clemgris/RealRobot_push-blocks")
print(ds.num_episodes, ds.num_frames, ds.fps)
sample = ds[0]
sample["observation.state"] # (6,)
sample["action"] # (7,)
sample["observation.images.static"] # (3, H, W)
sample["task"] # instruction string
Citation
@misc{kappel2026sim2real,
title = {A Sim-to-Real Integration Pipeline for Training and Deployment
of Chunk-Based VLA Manipulation Policies},
author = {Kappel, Mathilde and Grislain, Cl\'emence and Chetouani, Mohamed
and Sigaud, Olivier and Khoramshahi, Mahdi and Annabi, Louis
and Ben Amar, Fa\"iz and Doncieux, St\'ephane},
year = {2026},
}
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