Genetic Optimization of a Manipulator: Comparison between Straight, Rounded, and Curved Mechanism Links
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F21%3A10247456" target="_blank" >RIV/61989100:27230/21:10247456 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/2076-3417/11/6/2471" target="_blank" >https://www.mdpi.com/2076-3417/11/6/2471</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app11062471" target="_blank" >10.3390/app11062471</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Genetic Optimization of a Manipulator: Comparison between Straight, Rounded, and Curved Mechanism Links
Popis výsledku v původním jazyce
There are several ubiquitous kinematic structures that are used in industrial robots, with the most prominent being a six-axis angular structure. However, researchers are experimenting with task-based mechanism synthesis that could provide higher efficiency with custom optimized manipulators. Many studies have focused on finding the most efficient optimization algorithm for task-based robot manipulators. These manipulators, however, are usually optimized from simple modular joints and links, without exploring more elaborate modules. Here, we show that link modules defined by small numbers of parameters have better performance than more complicated ones. We compare four different manipulator link types, namely basic predefined links with fixed dimensions, straight links that can be optimized for different lengths, rounded links, and links with a curvature defined by a Hermite spline. Manipulators are then built from these modules using a genetic algorithm and are optimized for three different tasks. The results demonstrate that manipulators built from simple links not only converge faster, which is expected given the fewer optimized parameters, but also converge on lower cost values.
Název v anglickém jazyce
Genetic Optimization of a Manipulator: Comparison between Straight, Rounded, and Curved Mechanism Links
Popis výsledku anglicky
There are several ubiquitous kinematic structures that are used in industrial robots, with the most prominent being a six-axis angular structure. However, researchers are experimenting with task-based mechanism synthesis that could provide higher efficiency with custom optimized manipulators. Many studies have focused on finding the most efficient optimization algorithm for task-based robot manipulators. These manipulators, however, are usually optimized from simple modular joints and links, without exploring more elaborate modules. Here, we show that link modules defined by small numbers of parameters have better performance than more complicated ones. We compare four different manipulator link types, namely basic predefined links with fixed dimensions, straight links that can be optimized for different lengths, rounded links, and links with a curvature defined by a Hermite spline. Manipulators are then built from these modules using a genetic algorithm and are optimized for three different tasks. The results demonstrate that manipulators built from simple links not only converge faster, which is expected given the fewer optimized parameters, but also converge on lower cost values.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Centrum výzkumu pokročilých mechatronických systémů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Applied Sciences
ISSN
2076-3417
e-ISSN
—
Svazek periodika
11
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
14
Strana od-do
—
Kód UT WoS článku
000645766100001
EID výsledku v databázi Scopus
—