Optimizing the position of a robotic arm using statistical methods
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimizing the position of a robotic arm using statistical methods
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Optimizing the position of a robotic arm using statistical methods
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Manufacturing Technology
ISSN
1213-2489
e-ISSN
2787-9402
Svazek periodika
24
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
8
Strana od-do
618-625
Kód UT WoS článku
001315427900010
EID výsledku v databázi Scopus
2-s2.0-85202999418