pith:IG54WQMX
Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking
Pickalo shows that a low-cost RGB-D pipeline with 6D pose estimation from synthetic data can reach 600 mean picks per hour and 96-99% grasp success in dense industrial bins.
arxiv:2604.04690 v2 · 2026-04-06 · cs.RO · cs.AI
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Record completeness
Claims
Deployed on a UR5e with a parallel-jaw gripper and an Intel RealSense D435i, Pickalo achieves up to 600 mean picks per hour with 96-99% grasp success and robust performance over 30-minute runs on densely filled euroboxes.
That the Mask-RCNN model trained purely on photorealistic synthetic data combined with the zero-shot SAM-6D estimator will produce sufficiently accurate 6D poses in real cluttered, occluded industrial scenes without additional real-world fine-tuning or domain adaptation.
Pickalo delivers up to 600 picks per hour at 96-99% success using only low-cost RGB-D hardware, synthetic-trained Mask-RCNN, and SAM-6D pose estimation on a UR5e robot in dense eurobox scenes.
Formal links
Receipt and verification
| First computed | 2026-07-14T01:20:58.333415Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
41bbcb4197aae1394a4b1d3caeb5e1d189a627358407a02ade41a747745f74fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IG54WQMXVLQTSSSLDU6K5NPB2G \
| 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: 41bbcb4197aae1394a4b1d3caeb5e1d189a627358407a02ade41a747745f74fe
Canonical record JSON
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