Pith. sign in

REVIEW 2 cited by

Stow: Robotic Packing of Items into Fabric Pods

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2505.04572 v1 pith:QZHTODYV submitted 2025-05-07 cs.RO

classification cs.RO
keywords itemssystempackingshelvesachievesalongsidebusinesscapable
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

This paper presents a compliant manipulation system capable of placing items onto densely packed shelves. The wide diversity of items and strict business requirements for high producing rates and low defect generation have prohibited warehouse robotics from performing this task. Our innovations in hardware, perception, decision-making, motion planning, and control have enabled this system to perform over 500,000 stows in a large e-commerce fulfillment center. The system achieves human levels of packing density and speed while prioritizing work on overhead shelves to enhance the safety of humans working alongside the robots.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Learning 3D Affordances for Blade Insertion in Cluttered Stowing

    cs.CV 2026-06 conditional novelty 6.5 of 10

    VulcanVoxel reconstructs blade occupancy with a 3D masked autoencoder, recovering multi-modal free-space affordances from unimodal warehouse stow data and raising top-5 coverage from 0.71 to 0.89.

  2. NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing

    cs.RO 2025-06 conditional novelty 5.0 of 10

    NeSyPack, a hierarchical neuro-symbolic controller, achieved high packing success rates and won the WBCD competition at ICRA 2025.

Pith tools