Episodes Preview vio_rig_handheld_bimanual Visualizer
2 episodes · 30 fps · 4 cameras · 640×400 av1

This dataset was created using LeRobot.

Dataset Description

Two short egocentric bimanual manipulation clips, pouring and folding (the last 15 s of each take, 450 frames each at 30 fps, 900 frames total). They were recorded with a head-mounted DECXIN stereo camera (175° lens) and two hand-held UMI-style grippers; each gripper carries a DECXIN wrist camera with an IMU, an ArUco marker cube and finger markers. Converted to LeRobotDataset v3.0 (lerobot==0.6.1); loads with LeRobotDataset("starpilot-ai/mobile_umi_test_2").

Same schema as starpilot-ai/mobile_umi_test, so the two can be mixed. Gripper A = left hand, gripper B = right hand. The task string is the task name (pouring, folding).

Poses come from our own pipeline: stereo visual odometry for the head, stereo-triangulated ArUco cubes for the grippers (short gaps bridged with each gripper's wrist IMU, orientation fused gyro + markers) and finger-marker tracking in the wrist cameras for gripper opening. This is a test release of the format; expect rough edges.

Source data and timing

  • Head: 4000x1200 stereo at 60 fps, exposure 7.3 ms. Its layout is [strip][x 160..2080 = stereo_left][x 2080..4000 = stereo_right]. stereo_left is physically the right-hand lens (Basalt cam1).
  • Wrists: 2080x1200 mono at 60 fps, exposure 4.2 ms (left) and 5.0 ms (right).
  • The three cameras free-run, with no trigger. Each camera's exposure midpoint is mapped onto the shared host clock with a robust affine fit of its arrival stamps (fit residual p50 1.4 ms, p95 3.2 ms). The head stream is used at 30 fps (every 2nd frame) as the master timeline: one dataset frame per head frame. Each head frame is paired with the nearest 60 fps wrist frame. The pairing offset is always within half a 60 fps period: |dt| <= 8.3 ms, p95 about 7.9 ms. The cameras run at slightly different rates, so the offset sweeps that whole range. Unpaired head frames: pouring 1 per wrist camera (the first frame), folding 0 (left) and 1 (right).
  • The wrist IMU was assigned to each gripper from the data: wrist gyro vs marker-cube rotation correlation was 0.95 and 0.99 (pouring) and 0.93 and 0.80 (folding). This also confirms the time alignment.
  • timestamp = frame_index / 30. exposure_t is the head exposure time on the host clock, relative to the first frame.

Coordinate frames and units

  • world: gravity-aligned, per episode, in metres. z up comes from gravity measured by the two wrist IMUs, which agree within 0.9 deg (pouring) and 2.1 deg (folding). x is the head camera's viewing direction at frame 0, flattened onto the horizontal. The origin is the head (stereo_L) camera's position at frame 0. Each episode has its own world.
  • head: the current stereo_L camera frame from stereo VO (stereo_vo.py, KLT + stereo + PnP). It uses the Basalt calibration 168_taha_calib_20261004.json (kb4 = OpenCV fisheye, baseline 60.16 mm). The head IMU is decoded and kept in the source folders, but it is not fused.
  • Grippers: the pose of the gripper body, i.e. the centre of the 4 marker-cube faces. A single cube model (face-to-body transforms, fitted on pouring, where all 8 faces are seen) is used for both episodes, so the body frame is identical across episodes. Positions come from stereo-triangulated ArUco markers. Short gaps are bridged with the wrist IMU. Orientation is fused: the gyro carries fast motion and the markers carry the slow absolute part.
  • Smoothing: positions of the head and grippers get the lightest Gaussian smoothing (sigma 1 frame, +-2 frames).
  • Poses are x y z qx qy qz qw (scipy/ROS quaternion order, normalised to qw >= 0).

Markers (this gripper build)

All markers are DICT_4X4_50. Sizes were measured by stereo triangulation.

gripper hand wrist camera cube faces (49 mm) finger markers (19.3 mm)
A left left_gripper (mono_1) 2 3 4 5 11 (near-fixed finger), 10 (moving jaw)
B right right_gripper (mono_2) 6 7 8 9 0 (near-fixed finger), 1 (moving jaw)

Features

key shape meaning
observation.images.stereo_left / stereo_right 400x640x3 video head stereo pair with the 160 px code strip removed (1920x1200 to 640x400)
observation.images.wrist_A / wrist_B 400x640x3 video wrist cameras: left gripper (A), right gripper (B)
observation.state 23 head pose in world (7), A pose in head frame (7), A opening_norm (1), B pose in head frame (7), B opening_norm (1)
observation.head.pose_world 7 head (stereo_L) pose in world
observation.gripper_{A,B}.pose_world 7 gripper pose in world
observation.gripper_{A,B}.pose_head 7 gripper pose in the current head frame
observation.gripper_{A,B}.opening 3 opening_norm (0..1, per episode between its 1st and 99th percentile), opening_mm, opening_deg
observation.imu_{A,B} 6 mean gx gy gz (rad/s) and ax ay az (m/s^2) of the wrist IMU over the frame interval. Raw IMU axes, no bias removal, gyro scale 28.65 LSB/(deg/s)
action 20 per gripper (A then B), absolute: the gripper pose at t+1 in the world frame (position, 3, m; rotation as 6D = first two rows of the matrix, 6) and its opening_norm at t+1 (1)
valid 13 1 = measured, 0 = filled. Order: head_pose, gripper_A_pose, gripper_A_opening, gripper_B_pose, gripper_B_opening, img_stereo_left, img_stereo_right, img_wrist_A, img_wrist_B, imu_A, imu_B, action_A, action_B
pose_source 2 per gripper: 0 = missing, 1 = ArUco markers, 2 = IMU fill
head_vo_inliers 1 VO inlier count (a quality indicator)
exposure_t 1 seconds since the first exposure
timestamp, frame_index, episode_index, index, task_index standard LeRobot columns

valid, pose_source, head_vo_inliers and exposure_t are metadata, named so that LeRobot policies ignore them.

Missing-data convention

Every feature is dense. An unknown value holds the last valid value: forward fill, with a leading gap back-filled from the first valid value. Its valid entry is set to 0. An action is valid when the gripper pose is valid at t+1, so the last frame's action is always invalid. Mask losses with valid.

Coverage in this release

pouring (450 frames) folding (450 frames)
head pose (stereo VO) 450 450
gripper A pose 450 (markers 450) 450 (markers 430, IMU fill 20)
gripper B pose 450 (markers 450) 450 (markers 436, IMU fill 14)
opening A / B 450 / 450 434 / 449
wrist images A / B 450 / 450 450 / 449

On the full takes, IMU gap fill validated by hiding marker stretches gives a median error of 2.5–2.8 mm (pouring) and 8.6–9.1 mm (folding) for 0.5 s gaps.

Known limitations

  • Wrist cameras are not calibrated. The head unit's lens model stands in for both wrist cameras. opening_mm and opening_deg are therefore approximate: they are the marker-centre distance and the jaw angle, not the finger gap. opening_norm is scale-free and is the value to use.

  • Absolute scale rests on the Basalt stereo calibration. Cube markers triangulate at 49 mm and finger markers at 19.3 mm. The physical print sizes were not given.

  • The cameras are not hardware-synchronised. Host-clock pairing leaves up to ±8.3 ms between a head frame and its wrist frame. Wrist IMU samples are matched on each camera's own clock.

  • Homepage: [More Information Needed]

  • Paper: [More Information Needed]

  • License: apache-2.0

Dataset Structure

meta/info.json:

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    },
    "total_episodes": 2,
    "total_frames": 900,
    "total_tasks": 2,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": "vio_rig_handheld_bimanual",
    "splits": {
        "train": "0:2"
    }
}

Citation

BibTeX:

[More Information Needed]
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