Optimizing the position of a robotic arm using statistical methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F24%3A63580618" target="_blank" >RIV/70883521:28110/24:63580618 - isvavai.cz</a>
Result on the web
<a href="https://journalmt.com/artkey/mft-202404-0017_optimizing-the-position-of-a-robotic-arm-using-statistical-methods.php" target="_blank" >https://journalmt.com/artkey/mft-202404-0017_optimizing-the-position-of-a-robotic-arm-using-statistical-methods.php</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21062/mft.2024.073" target="_blank" >10.21062/mft.2024.073</a>
Alternative languages
Result language
angličtina
Original language name
Optimizing the position of a robotic arm using statistical methods
Original language description
Robotics plays a key role in industry, and its use continues to grow. Robots are used in many sectors to increase the efficiency, productivity, and safety of work processes. This manuscript focuses on the spatial calibration of collaborative robot arms using appropriate statistical tools. Nowadays, there are many dedicated programming languages, simulations or virtual reality (VR), which in most cases perform calibration using matrix relations. The mathematical-statistical solution is not often addressed, and the use of linear relationships is valid only in certain parts of the workspace of the collaborative robot. The purpose of this article is to demonstrate how to find a suitable statistical method that would respect the wear of the arm mechanism in predefined positions based on the requirements of ISO 230–2:2015. Based on these measurements, it is possible to assume that optimal solutions can be obtained using a polynomial regression function. This optimization method will be explored using the Newton and Markwartel methods.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Manufacturing Technology
ISSN
1213-2489
e-ISSN
2787-9402
Volume of the periodical
24
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
618-625
UT code for WoS article
001315427900010
EID of the result in the Scopus database
2-s2.0-85202999418