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IK-Modulation — Segment Zarr
Segmented, contact-cycle Zarr datasets for force-conditioned IK-target modulation on a Unitree G1 humanoid. Each task pairs teleop cycles (which carry a real IK "press") with human-demonstration cycles; a transfer rule turns teleop IK offsets into per-hand XY press targets used to train the modulator.
Raw source bags: GeorgiaTech/Lidar-Tactile.
bucket/ — bucket task (2026-05)
Contact label space 1=left, 2=right, 3=both; training cycle 2→3→1.
bucket/
teleop/teleop_old_ik_231_sequences_bucket_dur4to7p5_closure0p12.zarr # final teleop (39 cycles)
human/human_bucket_force_231_sequences_bucket_closure0p20.zarr # final human (~24–29 cycles)
intermediate/
teleop_old_ik_231_sequences_ikbar0p020_7p5_bucket.zarr # raw IK-error 2-3-1 cycles (97)
teleop_old_ik_231_sequences_bucket_dur4to7p5.zarr # + duration 4–7.5 s filter (63)
human_bucket_force_segments_all_bucket.zarr # raw force segments (188)
human_bucket_force_231_sequences_bucket.zarr # assembled 2-3-1 (28, pre-closure)
human_bucket_force_23132_sequences_bucket.zarr # longer closing 2-3-1-3-2 cycles (sanity)
- Teleop segmented by IK-tracking-error; human segmented by tactile force (≥1 N,
sensor1=left). The two
finalzarrs are what training consumes. - Zarr layout:
data/state(pose + tactile + force),data/action(teleop IK target),data/segment_label(1/2/3),data/force_contact,meta/episode_ends.
import zarr
z = zarr.open("bucket/human/human_bucket_force_231_sequences_bucket_closure0p20.zarr")
print(list(z["data"].keys()), len(z["meta/episode_ends"]))
Full pipeline (segmentation, IK transfer rule, training) is documented in
ik_modulation/configs/bucket_pipeline/BUCKET_PIPELINE.md (in the diffusion_humanoid_train repo).
Other tasks in this repo
Sibling datasets from the same IK-modulation line of work also live here, e.g.
0517_human_yogaball/, 0510_yoga_teleop_processed/, 0512_yogaball_human_processed/,
and other teleop captures. The bucket/ tree above is the 2026-05 bucket task.
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