Efficiently Improving and Quantifying Robot Accuracy In Situ.

calibration optimization methods robot kinematics

Journal

IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society
ISSN: 1545-5955
Titre abrégé: IEEE Trans Autom Sci Eng
Pays: United States
ID NLM: 101225105

Informations de publication

Date de publication:
2019
Historique:
medline: 1 1 2019
pubmed: 1 1 2019
entrez: 18 5 2023
Statut: ppublish

Résumé

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,

Identifiants

pubmed: 37200856
doi: 10.48550/arXiv.1908.07273
pmc: PMC10190160
mid: NIHMS1540311
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Intramural NIST DOC
ID : 9999-NIST
Pays : United States

Références

IEEE Trans Autom Sci Eng. 2018;15:
pubmed: 31080373

Auteurs

Karl Van Wyk (KV)

National Institute of Standards and Technology, Gaithersburg, MD, USA.

Joe Falco (J)

National Institute of Standards and Technology, Gaithersburg, MD, USA.

Geraldine Cheok (G)

National Institute of Standards and Technology, Gaithersburg, MD, USA.

Classifications MeSH