Evidence map›Paper›PMID 37200856›Full record

ArticleIEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society2019

Efficiently Improving and Quantifying Robot Accuracy In Situ.

Karl Van Wyk, Joe Falco, Geraldine Cheok

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 2 countries.

Karl Van WykNational Institute of Standards and Technology, Gaithersburg, MD, USA.
Joe FalcoNational Institute of Standards and Technology, Gaithersburg, MD, USA.
Geraldine CheokNational Institute of Standards and Technology, Gaithersburg, MD, USA.
National Institute of Standards and Technology · USNational Institute of Standards · EG

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

The advancement of simulation-assisted robot programming, automation of high-tolerance assembly operations, and improvement of real-world performance engender a need for positionally accurate robots. Despite tight machining tolerances, good mechanical design, and careful assembly, robotic arms typically exhibit average Cartesian positioning errors of several millimeters. Fortunately, the vast majority of this error can be removed in software by proper calibration of the so-called "zero-offsets" of a robot's joints. This research developed an automated, inexpensive, highly portable,

Indexed as

calibrationoptimization methodsrobot kinematics

Identifiers

PMID37200856
PMCPMC10190160
OpenAlexW2969568274

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.