Pith. sign in

REVIEW

Tabletop Object Rearrangement: Team ACRV's Entry to OCRTOC

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

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 2104.07188 v1 pith:UKDGL6YL submitted 2021-04-15 cs.RO

Zheyu Zhang , Rhys Newbury , Kerry He , Steven Martin , Gavin Suddrey , Jun Kwan , Peter Corke , Akansel Cosgun This is my paper · ORCID
classification cs.RO
keywords entryocrtoctabletopteamabstractacrvchallengechallenges
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Open Cloud Robot Table Organization Challenge (OCRTOC) is one of the most comprehensive cloud-based robotic manipulation competitions. It focuses on rearranging tabletop objects using vision as its primary sensing modality. In this extended abstract, we present our entry to the OCRTOC2020 and the key challenges the team has experienced.

Discussion (0). Continue with ORCID to comment.

Pith tools