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Document hdf5_joint_pose (success-only ManiSkill HDF5)
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metadata
license: apache-2.0
task_categories:
  - robotics
tags:
  - LeRobot
  - lohrbench
  - panda
  - curobo
  - manipulation
  - long-horizon

LongHorizon — LoHRbench CuRobo Demonstrations (joint-pose)

Success-only demonstration trajectories for 8 long-horizon manipulation tasks from LoHRbench (ManiSkill3, Franka Panda), collected with the CuRobo GPU motion planner.

Two representations of the same success trajectories are provided:

Path Format Episodes Notes
data/, meta/ LeRobot v2 1,200 (capped 150/task) training-ready (pi0 / LeRobot pipelines)
hdf5_joint_pose/ ManiSkill HDF5 1,383 (all successes) raw trajectories + filtered metadata JSON

Both are joint-pose (8D pd_joint_pos) and success-only. The HDF5 set keeps every successful episode (no 150/task cap), so a few tasks have more than the LeRobot set.

Contents

  • Episodes: 1,200 (150 per task × 8 tasks), all successful
  • Frames: 3,311,118 @ 20 fps
  • Robot: Franka Panda (panda_wristcam)
  • Planner: CuRobo (GPU MotionGen)
  • Action space: 8D pd_joint_pos — 7 arm joint targets + 1 gripper command (absolute)

Features (per frame)

key dtype shape source
image image (128, 128, 3) base camera RGB
wrist_image image (128, 128, 3) hand/wrist camera RGB
state float32 (9,) robot qpos (7 arm + 2 finger)
actions float32 (8,) pd_joint_pos target (7 arm + gripper)

Tasks and language instructions

task category instruction
stack_10_cube super_long_horizon Stack 10 cubes together, start with red cube
reverse_stack super_long_horizon Reverse 10 stacked cubes in reverse order
stack_active_exploration active_exploration Open the drawer, pick up the cubes, and stack them together starting with the red cube
pick_active_exploration active_exploration Pick up the can, screwdriver, and cup out of the drawer
fruit_placement tool_using Place four strawberries into the target positions
repackage tool_using Put the cube into the bowl and stack the bowl on the plate
cluttered_packing clutter Put three cubes into the bowl
stack_cube_clutter clutter Stack 3 cubes together, start with red cube

The per-frame language instruction is stored in the LeRobot task field.

HDF5 success counts (hdf5_joint_pose/)

task success episodes
stack_10_cube 150
reverse_stack 172
stack_active_exploration 300
pick_active_exploration 150
fruit_placement 150
repackage 150
cluttered_packing 161
stack_cube_clutter 150
total 1,383

Each <name>_success.h5 holds only the successful traj_* groups; the sibling <name>_success.json is the ManiSkill trajectory metadata trimmed to those episodes. Episode success is taken from the reconciled per-episode label (episodes[].success), not the unreliable per-step flag. HDF5 schema: obs/agent/qpos (T,9), obs/sensor_data/{base,hand}_camera/rgb (T,128,128,3), actions (T-1,8).

Notes

  • Only successful episodes are included (per-episode success labels reconciled from the ManiSkill collection metadata; the per-step success flag is not used).
  • Actions are absolute joint targets. For pi0/pi0.5-style training, convert the 7 arm joints to deltas relative to the current state and keep the gripper absolute.
  • This release contains the joint-pose (pd_joint_pos) representation only (both LeRobot and HDF5). A delta-EE (pd_ee_delta_pose) variant is not included here.