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389 episodes · 50 fps · 1 camera · 640×360

SIMPLE decoupled-WBC, MP tasks (re-rendered)

The 5 motion-planning (MP) tasks of USC-PSI-Lab/SIMPLE-decoupled-wbc as one LeRobot v2.1 dataset, with the observations (states, per-joint columns, video) re-recorded by replaying every demo's actions in the current SIMPLE simulator (see Re-rendering).

  • Robot: Unitree G1, 50 fps, egocentric 360x640 H.264 video (observation.images.egocentric; yuv420p, keyframe every 10 frames, no B-frames)
  • Episodes: 389, frames: 141101, tasks: 5
  • states (32-d) / action (36-d): layout in meta/modality.json

Re-rendering

The hand states of the original MP recordings were captured with the old Dex3 hand gains (kp 80/40, torque limits 5/3 N·m), but their actions were later re-targeted for the soft hand gains SIMPLE now uses (kp 5/2.5, kd 1, torque limits 2.45/1.4/0.7 N·m). Replaying the actions therefore gives different hand states from the stored ones. This dataset fixes that mismatch:

  • Unchanged from the MP tasks of SIMPLE-decoupled-wbc: actions (bit-identical), episodes, episode order, episode lengths (including the trailing hold rows), tasks and instructions.
  • Re-recorded under the current gains: states, observation.* and the videos. Right/left hand states differ by up to ~1.25 rad (99th percentile ~0.5 rad per episode); arm states by < 0.07 rad. Table textures were resampled in some episodes.
  • meta/stats.json (and the identical meta/stats_psi0.json) is recomputed over this data; action statistics are unchanged.
  • All 389 episodes are kept. In the replay, 373 succeed at some step and 328 are still successful at their last step (MP success is re-evaluated every step). The 16 that never succeed are kept as recorded.
  • The replay used SIMPLE's g1_29dof_wholebody_dex3.xml as of 2026-11-06, before the wrist-joint armature change of 2026-11-09.

State / action layout

All joint values are in radians. For i < 31, states[i] and action[i] are the same joint. The names are also in meta/info.json under features.states.names and features.action.names.

dims action (36-d) states (32-d)
0-6 left hand joint targets: thumb_0, thumb_1, thumb_2, middle_0, middle_1, index_0, index_1 measured left hand joints, same order
7-13 right hand joint targets: thumb_0, thumb_1, thumb_2, index_0, index_1, middle_0, middle_1 measured right hand joints, same order
14-20 left arm joint targets: shoulder pitch/roll/yaw, elbow, wrist roll/pitch/yaw measured left arm joints
21-27 right arm joint targets, same order measured right arm joints
28-30 waist (torso) roll, pitch, yaw targets last commanded waist roll, pitch, yaw (see below)
31 base height command (m, 0.41-0.75) previous step's base height command
32 base forward velocity command vx (m/s, ±0.5) –
33 base lateral velocity command vy (m/s, ±0.5) –
34 AMO turning flag (0/1) –
35 target heading yaw (rad, ±π) –

Dims 0-31 are absolute targets. Dims 32-34 are velocity commands, marked absolute: false in meta/modality.json.

The two hands use different finger orders: left is thumb, middle, index and right is thumb, index, middle. Both the training data and the SIMPLE eval agent use this order. The per-joint column observation.hand_joints uses thumb, index, middle for both hands.

MP (AMO) conventions

All tasks here use the AMO lower-body controller; the eval agent is simple/baselines/psi0.py (Psi0Agent), which builds the model input the same way.

  • states[28:31] = the last commanded waist roll, pitch, yaw: action[t-1, 28:31], and 0 at frame 0. The AMO controller does not use measured waist feedback; its policy input is the previous command, so the state carries that value. This holds exactly at every frame of this dataset.
  • states[31] = the last base height command, 0.75 at frame 0.
  • action[34] = the AMO turning flag, 0 or 1. It plays the role of the yaw-rate command vyaw in the teleop tasks of SIMPLE-decoupled-wbc. Only the tasks that turn use it (BendPickAndPlaceOnSofaMP, PickAndBendPlaceMP).

Data quality

  • Joint order is consistent across all tasks (including the left hand) and matches the eval agent.
  • Time axis: states[t] is the observation at frame t and action[t] is the command sent at frame t.
  • Other per-joint columns: observation.arm_joints (14), observation.leg_joints (12 leg joints, then waist yaw, roll, pitch), observation.prev_torso_rpy (equals states[28:31]) and observation.prev_height.

Trailing padding

Episode lengths are those of SIMPLE-decoupled-wbc, so its trailing padding is included: episodes whose plain replay (every recorded frame, --no-stop-on-success, success judged at the last step) failed there got their last frame held for up to 50 extra rows (base velocity 0). A held run at the end of an episode can be longer than 50 rows when the source recording already ends with a hold (up to 34 rows in PickAndBendPlaceMP, 21 in BendPickAndPlaceOnSofaMP).

Tasks

task_index source instruction episodes frames
0 G1WholebodyBendPickAndPlaceOnSofaMP-v0 g1 robot must bend and pick up an object using right hand and place it on the sofa. 75 41933
1 G1WholebodyBendPickMP-v0 bend to pick up the cracker box 91 14112
2 G1WholebodyPickAndBendPlaceMP-v0 pick up the cracker box, turn 180, and drop it in the cushion. 49 53458
3 G1WholebodyTabletopGraspMP-v0 grasp the object on the tabletop. 98 11990
4 G1WholebodyTabletopHandoverMP-v0 pick up the object, then hand it to the left hand. 76 19608

task_index is renumbered 0-4 here (1, 3, 11, 14, 15 in SIMPLE-decoupled-wbc). Episodes are numbered contiguously by task in this order; index is a global 0..N-1.

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