pith:XUTPNABU
HRDexDB: A Paired Human-Robot Dataset for Cross-Embodiment Dexterous Grasping
HRDexDB supplies aligned human and robotic dexterous grasp sequences on the same 100 objects with synchronized 3D motion, tactile, and video data.
arxiv:2604.14944 v2 · 2026-04-16 · cs.RO · cs.CV
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Claims
By providing closely aligned captures of human dexterity and robotic execution on the same target objects under comparable grasping motions, HRDexDB serves as a foundational benchmark for multi-modal policy learning and cross-domain dexterous manipulation.
The new multi-camera system and state-of-the-art vision methods produce sufficiently high-precision, synchronized 3D ground-truth and tactile signals that are free of significant artifacts or domain gaps between human and robot captures.
HRDexDB is a multi-modal dataset of 1.4K human and robotic dexterous grasps across 100 objects, providing aligned 3D kinematics, high-resolution tactile data, and video streams.
Receipt and verification
| First computed | 2026-06-23T01:12:07.239595Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XUTPNABUFOTKFRA3QKGKOGO35T \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: bd26f680342ba6a2c41b828ca719dbecf2a20ad3feb25b7dd179ff89d54057e4
Canonical record JSON
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