Finding optimal manipulator arm shapes to avoid collisions in a static environment
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F21%3A10246291" target="_blank" >RIV/61989100:27230/21:10246291 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/2076-3417/11/1/64" target="_blank" >https://www.mdpi.com/2076-3417/11/1/64</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app11010064" target="_blank" >10.3390/app11010064</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Finding optimal manipulator arm shapes to avoid collisions in a static environment
Popis výsledku v původním jazyce
In situations of a confined workplace with a lot of obstacles and a complicated required trajectory of the endpoint of an industrial or collaborative robot, it may be impossible to find a suitable robot and its position within the workplace to fulfill the given task. In some cases, it could be favorable to design a custom manipulator arm with an unusual kinematic structure or shapes of some of its links. This article presents a novel way of finding the optimal lengths and shapes of two crucial links of a manipulator arm, where the target lengths are as short as possible to reduce mass, and the shape in the form of a Bézier curve is chosen to avoid collisions. The chosen type of kinematic structure of the manipulator arm is fixed and is based on the most typical structure of existing industrial robots, with six degrees of freedom. Two algorithm variants were proposed; one method uses iterations to find the solution based on in-depth collision analysis, and the second method uses the particle swarm optimization algorithm. Both methods were implemented in a simulation system and verified in several testing workplaces. (C) 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Název v anglickém jazyce
Finding optimal manipulator arm shapes to avoid collisions in a static environment
Popis výsledku anglicky
In situations of a confined workplace with a lot of obstacles and a complicated required trajectory of the endpoint of an industrial or collaborative robot, it may be impossible to find a suitable robot and its position within the workplace to fulfill the given task. In some cases, it could be favorable to design a custom manipulator arm with an unusual kinematic structure or shapes of some of its links. This article presents a novel way of finding the optimal lengths and shapes of two crucial links of a manipulator arm, where the target lengths are as short as possible to reduce mass, and the shape in the form of a Bézier curve is chosen to avoid collisions. The chosen type of kinematic structure of the manipulator arm is fixed and is based on the most typical structure of existing industrial robots, with six degrees of freedom. Two algorithm variants were proposed; one method uses iterations to find the solution based on in-depth collision analysis, and the second method uses the particle swarm optimization algorithm. Both methods were implemented in a simulation system and verified in several testing workplaces. (C) 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20204 - Robotics and automatic control
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)<br>S - Specificky vyzkum na vysokych skolach
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
1
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
23
Strana od-do
1-23
Kód UT WoS článku
000605894100001
EID výsledku v databázi Scopus
2-s2.0-85098643375