Kinematic Structure Optimization of a Modular Planar 3DOF Robotic Manipulator for a Given Task
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258975" target="_blank" >RIV/61989100:27230/25:10258975 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-032-02106-9_36" target="_blank" >https://doi.org/10.1007/978-3-032-02106-9_36</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-032-02106-9_36" target="_blank" >10.1007/978-3-032-02106-9_36</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Kinematic Structure Optimization of a Modular Planar 3DOF Robotic Manipulator for a Given Task
Popis výsledku v původním jazyce
This paper focuses on optimizing the kinematic structure of a robotic manipulator for a given task. It is a planar manipulator with three degrees of freedom. The problem of designing the kinematic structure of the robotic manipulator, which is assumed to have a modular structure, is addressed. The aim is to find the optimal combination of the lengths of the individual segments that will allow the execution of the specified task. A Genetic Algorithm is used to find the optimal combination of lengths. Planning for collision-free paths is also part of the solution. The path must ensure that the manipulator completes the required task without collisions. The Rapidly exploring Random Tree (RRT) algorithm is used for path planning. Based on this path, the motion trajectory of each link of the manipulator is then designed and optimized. A hybrid optimization approach is used for trajectory planning, considering both time and jerk. The overall approach is directly linked to the concept of modular robots, where flexibility in the composition and adaptation of the kinematic structure play a crucial role in solving diverse tasks in robotics. This work presents a methodology for addressing these challenges through a systematic optimization approach.
Název v anglickém jazyce
Kinematic Structure Optimization of a Modular Planar 3DOF Robotic Manipulator for a Given Task
Popis výsledku anglicky
This paper focuses on optimizing the kinematic structure of a robotic manipulator for a given task. It is a planar manipulator with three degrees of freedom. The problem of designing the kinematic structure of the robotic manipulator, which is assumed to have a modular structure, is addressed. The aim is to find the optimal combination of the lengths of the individual segments that will allow the execution of the specified task. A Genetic Algorithm is used to find the optimal combination of lengths. Planning for collision-free paths is also part of the solution. The path must ensure that the manipulator completes the required task without collisions. The Rapidly exploring Random Tree (RRT) algorithm is used for path planning. Based on this path, the motion trajectory of each link of the manipulator is then designed and optimized. A hybrid optimization approach is used for trajectory planning, considering both time and jerk. The overall approach is directly linked to the concept of modular robots, where flexibility in the composition and adaptation of the kinematic structure play a crucial role in solving diverse tasks in robotics. This work presents a methodology for addressing these challenges through a systematic optimization approach.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Mechanisms and machine science. Volume 190
ISBN
978-3-032-02105-2
ISSN
2211-0984
e-ISSN
2211-0992
Počet stran výsledku
8
Strana od-do
324-331
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Bělehrad
Datum konání akce
18. 6. 2025
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—