Episodes Preview Unitree G1 Visualizer
3 episodes · 30 fps · 2 cameras · 480×360 av1

Rokoko → Unitree G1 + Dex3

This dataset was created using LeRobot from saved Rokoko suit/Smart Gloves teleoperation episodes in MuJoCo.

3 episodes · 3783 frames · 30 FPS · 2 cameras

Robot: Rokoko_G1_Dex3_FullBody. Dataset format: v3.0. Exporter runtime: LeRobot 0.4.1.

Tasks

  • Transfer box from Table A to Table B

Observation and action semantics

  • observation.state: Actual simulated/displayed kinematic G1 joint state at source snapshot; not hardware feedback.
  • action: Associated published Rokoko-retargeted G1 target; not measured hardware command execution.
  • Joint positions are radians. Root position is metres; root quaternion is (w, x, y, z).
  • These are simulation demonstrations, not physical robot feedback or verified hardware trajectories.

Cameras

Feature Resolution Encoding FPS
observation.images.front 480 × 360 av1, yuv420p 30
observation.images.side 480 × 360 av1, yuv420p 30

front is the robot-mounted camera; side is the external environment camera. Browser video decoding support depends on the browser and the listed codec.

Sampling

Timestamp-aware causal whole-snapshot hold, fixed FPS; no joint/pose/image interpolation; pause segments split. Original RGB JPEG snapshots encoded as video at export FPS; temporal upsampling does not create new images. Source timestamps and source frame IDs remain available as custom features; the complete resampling map is in provenance/resampling.jsonl.

Feature schema

Feature Type Shape
observation.state float32 [43]
action float32 [43]
observation.root_position float32 [3]
observation.root_quaternion float32 [4]
observation.target_root_position float32 [3]
observation.target_root_quaternion float32 [4]
observation.full_body_state float32 [43]
observation.full_body_target float32 [43]
observation.box_pose float32 [7]
observation.grasp_state float32 [3]
observation.glove_curl float32 [2]
observation.solver float32 [4]
observation.solver_valid float32 [4]
observation.tracking float32 [2]
source.timestamp float64 [1]
source.capture_monotonic float64 [1]
source.frame_index int64 [1]
source.raw_index int64 [1]
observation.human_positions float32 [189]
observation.filtered_positions float32 [189]
observation.human_rotations float32 [567]
observation.filtered_rotations float32 [567]
observation.images.front video [360, 480, 3]
observation.images.side video [360, 480, 3]
timestamp float32 [1]
frame_index int64 [1]
episode_index int64 [1]
index int64 [1]
task_index int64 [1]

Complete metadata and dimension names: meta/info.json.

Joint ordering

Version: g1_29_dex3_14_mjcf_v1.

The same index ordering applies to observation.state and action.

Index Feature name Source joint Units
0 left_hip_pitch_joint left_hip_pitch_joint radians
1 left_hip_roll_joint left_hip_roll_joint radians
2 left_hip_yaw_joint left_hip_yaw_joint radians
3 left_knee_joint left_knee_joint radians
4 left_ankle_pitch_joint left_ankle_pitch_joint radians
5 left_ankle_roll_joint left_ankle_roll_joint radians
6 right_hip_pitch_joint right_hip_pitch_joint radians
7 right_hip_roll_joint right_hip_roll_joint radians
8 right_hip_yaw_joint right_hip_yaw_joint radians
9 right_knee_joint right_knee_joint radians
10 right_ankle_pitch_joint right_ankle_pitch_joint radians
11 right_ankle_roll_joint right_ankle_roll_joint radians
12 waist_yaw_joint waist_yaw_joint radians
13 waist_roll_joint waist_roll_joint radians
14 waist_pitch_joint waist_pitch_joint radians
15 left_shoulder_pitch_joint left_shoulder_pitch_joint radians
16 left_shoulder_roll_joint left_shoulder_roll_joint radians
17 left_shoulder_yaw_joint left_shoulder_yaw_joint radians
18 left_elbow_joint left_elbow_joint radians
19 left_wrist_roll_joint left_wrist_roll_joint radians
20 left_wrist_pitch_joint left_wrist_pitch_joint radians
21 left_wrist_yaw_joint left_wrist_yaw_joint radians
22 left_hand_thumb_0_joint left_hand_thumb_0_joint radians
23 left_hand_thumb_1_joint left_hand_thumb_1_joint radians
24 left_hand_thumb_2_joint left_hand_thumb_2_joint radians
25 left_hand_middle_0_joint left_hand_middle_0_joint radians
26 left_hand_middle_1_joint left_hand_middle_1_joint radians
27 left_hand_index_0_joint left_hand_index_0_joint radians
28 left_hand_index_1_joint left_hand_index_1_joint radians
29 right_shoulder_pitch_joint right_shoulder_pitch_joint radians
30 right_shoulder_roll_joint right_shoulder_roll_joint radians
31 right_shoulder_yaw_joint right_shoulder_yaw_joint radians
32 right_elbow_joint right_elbow_joint radians
33 right_wrist_roll_joint right_wrist_roll_joint radians
34 right_wrist_pitch_joint right_wrist_pitch_joint radians
35 right_wrist_yaw_joint right_wrist_yaw_joint radians
36 right_hand_thumb_0_joint right_hand_thumb_0_joint radians
37 right_hand_thumb_1_joint right_hand_thumb_1_joint radians
38 right_hand_thumb_2_joint right_hand_thumb_2_joint radians
39 right_hand_middle_0_joint right_hand_middle_0_joint radians
40 right_hand_middle_1_joint right_hand_middle_1_joint radians
41 right_hand_index_0_joint right_hand_index_0_joint radians
42 right_hand_index_1_joint right_hand_index_1_joint radians

Machine-readable mapping: meta/robot_joint_mapping.json.

Dataset structure

README.md
meta/info.json
meta/stats.json
meta/tasks.parquet
meta/episodes/chunk-*/file-*.parquet
data/chunk-*/file-*.parquet
videos/observation.images.{front,side}/chunk-*/file-*.mp4
provenance/export.json
provenance/resampling.jsonl
validation.json

Human skeleton/glove data, root transforms, box/grasp/task state and solver diagnostics are additional features. Source episode status, session references and calibration metadata are retained in provenance. Missing solver metrics use a validity mask.

Limitations and source quality

Acceptance denotes a collection decision, not a guarantee of task success or robot safety. Temporal upsampling does not add camera observations. Collision diagnostics describe the source solver; they do not certify physical robot execution.

  • accepted/episode_000000_attempt_000: first-frame object/grasp/success state is not reset; source preserved as collected.

Visualization

Use the official LeRobot visualizer and enter the uploaded dataset repository ID. All files must be uploaded at the dataset repository root.

License

Not specified. The dataset owner must choose a license before licensed redistribution.

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