Benchmarking Protocols for Evaluating Small Parts Robotic Assembly Systems.

Kenneth Kimble, Karl Van Wyk, Joe Falco, Elena Messina, Yu Sun, Mizuho Shibata, Wataru Uemura, Yasuyoshi Yokokohji

Abstract read

In one paragraph

Article in IEEE robotics and automation letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications.Frontiers in robotics and AI · 2022
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kenneth KimbleNational Institute of Standards and Technology (NIST), 100 Bureau Drive, Gaithersburg, MD 20899 USA.

Karl Van WykNVIDIA, 4545 Roosevelt Way, Seattle, WA 98105.

Joe FalcoNational Institute of Standards and Technology (NIST), 100 Bureau Drive, Gaithersburg, MD 20899 USA.

Elena MessinaNational Institute of Standards and Technology (NIST), 100 Bureau Drive, Gaithersburg, MD 20899 USA.

Yu SunUniversity of South Florida (USF), 4202 E Fowler Ave., ENB. 118 Tampa, FL 33620 USA.

Mizuho ShibataKindai University, 1 Takaya Umenobe, Higashi-Hiroshima City, Hiroshima, 739-2116, Japan.

Wataru UemuraRyukoku University, 1-5 Seta Oh-e, Otsu City, Shiga 520-2194 Japan.

Yasuyoshi YokokohjiKobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan.

Funding

Intramural NIST DOC 9999-NIST

6 · The paper itself

Abstract

This paper presents a set of performance metrics, test methods, and associated artifacts to help progress the development and deployment of robotic assembly systems. The designs for three task board artifacts that replicate small part insertion and fastening operations such as threading, snap fitting, and meshing with standard screws, nuts, washers, gears, electrical connectors, belt drives, and wiring are presented. To support the evaluation of robotic assembly and disassembly operations, benchmarking protocols and performance metrics are presented that leverage these task boards. Finally, robot competitions are discussed as use cases for these task boards.

Identifiers

PMID33029555

PMCPMC7537423

What OpenQuestion holds

Textmetadata

LicenceTDM

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.