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DexRoam Push Chair and Close Laptop Real-World Data
This repository contains real-robot demonstrations of an Astribot robot pushing a chair and then closing a laptop. The data was collected for DexRoam and is provided as a working example for validating raw-data loading and VLA training pipelines.
This release is an integration example rather than a benchmark or a complete training corpus. Results trained only on this subset should not be interpreted as representative of the full DexRoam system.
Dataset summary
| Item | Value |
|---|---|
| Robot | Astribot mobile manipulation platform |
| End effectors | Dual XHand 12-DoF dexterous hands |
| Task | Push the chair and close the laptop. |
| Source format | One HDF5 file per episode |
| Episodes | 50 |
| Frames | 37,422 |
| Control/capture frequency | Approximately 30 Hz |
| Total recorded duration | Approximately 20.7 minutes |
| Episode duration | 21.6β33.7 seconds |
| Raw size | Approximately 227.3 GiB |
| Cameras used for training | Head-mounted stereo RGB cameras |
The released source episode IDs are contiguous and range from 0 to 49.
Directory structure
DexRoam_Realworld_Data/
βββ README.md
βββ Astribot-Xhand-data/
βββ robot_push_chair_and_close_laptop/
βββ push_chair_and_close_laptop_episode_0.hdf5
βββ ...
βββ push_chair_and_close_laptop_episode_49.hdf5
Raw HDF5 format
Every dataset in an episode has the same leading time dimension T. Episode
length varies, but the field names, dtypes, and non-time dimensions are
consistent across the release.
The main fields are:
| HDF5 key | Shape | Description |
|---|---|---|
/time |
(T,) |
Monotonic frame timestamps |
/images_dict/stereo_left/rgb |
(T, 480, 640, 3) |
Left stereo RGB stream |
/images_dict/stereo_right/rgb |
(T, 480, 640, 3) |
Right stereo RGB stream |
/images_dict/head_stereo/rgb |
(T, 480, 1280, 3) |
Concatenated stereo stream |
/images_dict/head/rgb |
(T, 720, 1280, 3) |
Additional monocular head RGB stream |
/joints_dict/joints_position_state |
(T, 25) |
Robot joint position state |
/joints_dict/joints_velocity_state |
(T, 25) |
Robot joint velocity state |
/joints_dict/joints_position_command |
(T, 25) |
Robot joint position command |
/dex_hand_dict/{left,right}/state |
(T, 12) |
Left/right dexterous-hand state |
/fk_poses_dict_from_state/{astribot_arm_left,astribot_arm_right,astribot_torso} |
(T, 7) |
FK pose derived from robot state |
/fk_poses_relative_action/{astribot_arm_left,astribot_arm_right,astribot_torso} |
(T, 7) |
Relative Cartesian action |
/mobile_dict/absolute_position |
(T, 3) |
Mobile-base absolute pose |
/mobile_dict/relative_position |
(T, 3) |
Mobile-base relative action |
/human_hand_dict/{left,right}/raw_data |
(T, 175) |
Auxiliary raw hand-tracking data |
Pose vectors use [x, y, z, qx, qy, qz, qw]. The provided converter normalizes
the quaternion and maps it to the 6D rotation representation used by the
training code. It also converts the XHand joint angles from degrees to radians.
The RGB arrays follow the Astribot SDK convention and are stored as BGR byte arrays in the HDF5 files. Use the provided converter to avoid channel-order mismatches.
Inspect one episode
import h5py
path = (
"Astribot-Xhand-data/robot_push_chair_and_close_laptop/"
"push_chair_and_close_laptop_episode_0.hdf5"
)
with h5py.File(path, "r") as episode:
print(episode["time"].shape)
print(episode["images_dict/stereo_left/rgb"].shape)
print(episode["joints_dict/joints_position_state"].shape)
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