Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
Metoda inverzne kinematike s pomočjo genetskega algoritma : magistrsko delo
Authors:
ID
Petek, Matjaž
(Author)
ID
Šafarič, Riko
(Mentor)
More about this mentor...
ID
Gotlih, Karl
(Mentor)
More about this mentor...
ID
Uran, Suzana
(Comentor)
Files:
MAG_Petek_Matjaz_2021.pdf
(6,25 MB)
MD5: BD7286CC1A7E33ED1538F25F1D78D354
PID:
20.500.12556/dkum/7974928f-ffb5-4f1f-93fb-db15eea05bba
MAG_Petek_Matjaz_2021.zip
(81,56 KB)
MD5: 83BA13E84950940CC18D47B418A83DF7
PID:
20.500.12556/dkum/85a23407-5be0-4994-862f-7746116bd13b
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Zaključno delo predstavlja dva nova algoritma za reševanje inverzne kinematike mehanizma robotske roke, ki delujeta na podlagi genetskega algoritma. Algoritma sta razvita in delujoča za splošno robotsko roko, ki je grajena iz sklepov in ročic. Glavna motivacija dela je sicer usmerjena v optimizacijo algoritmov za uporabo pri humanoidnih robotskih mehanizmih. Le-ti bi lahko z uporabo algoritmov posnemali človeško nebesedno komunikacijo, tj. kretnje rok, premikanje telesa itd. Algoritem za izračun inverznega kinematičnega modela na podlagi genetskega algoritma s poznavanjem Denevit-Hartenbergovih matrik (IKM-GA-DH) omogoča zanesljivo reševanje inverzne kinematike tudi za redundantne robotske roke, vendar pa za to potrebuje direktni kinematični model za vsak opazovani sklep. Algoritem za izračun inverznega kinematičnega modela na podlagi genetskega algoritma s poznavanjem direktnega kinematičnega modela (IKM-GA-DKM) pa za reševanje inverzne kinematike potrebuje le direktni kinematični model vrha opazovanega mehanizma, vendar pa rezultati pokažejo, da zato ni sposoben reševati redundantnih mehanizmov, ki imajo več redundantnih prostostnih stopenj, enako natančno kot jih lahko algoritem IKM-GA-DH.
Keywords:
Inverzna kinematika
,
Redundantna robotska roka
,
Genetski algoritem
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[M. Petek]
Year of publishing:
2021
Number of pages:
1 spletni vir (1 datoteka PDF (XI, 80 f.))
PID:
20.500.12556/DKUM-81019
UDC:
004.8.021:007.52(043.2)
COBISS.SI-ID:
97754883
Publication date in DKUM:
24.12.2021
Views:
934
Downloads:
105
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
PETEK, Matjaž, 2021,
Metoda inverzne kinematike s pomočjo genetskega algoritma : magistrsko delo
[online]. Master’s thesis. Maribor : M. Petek. [Accessed 31 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=81019
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
Linguistic change in the English language
Confusable words
Estuary English
How to be presidential
Slavic words in the English language
Similar works from other repositories:
Hrabri novi svet: konferenca
Vloga angleščine kot osrednjega jezika EU
The Cambridge grammar of English in the ELT classroom
Project work as a tool for enhancing the transfer of ESP knowledge into practice
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
08.12.2021
Secondary language
Language:
English
Title:
Inverse kinematics method based on genetic algorithm
Abstract:
In this thesis work, two new algorithms for solving an inverse kinematic of a robotic arm mechanism are presented. Both algorithms are based on Genetic algorithm. Mentioned algorithms are developed for a general robotic arm mechanism that consists of joints and links. Main motivation of the thesis work is directed more towards optimization of algorithms for use in humanoid robots. The humanoid robots would be able to use the algorithm to repeat the unspoken language of human gestures. Algorithm for solving inverse kinematic model based on genetic algorithm with Denevit-Hartenberg matrixes (IKM-GA-DH) is capable to solve the inverse kinematic for a redundant mechanism based on complete forward kinematic model for every joint of the observed mechanism. Algorithm for solving inverse kinematic model based on genetic algorithm with forward kinematic model (IKM-GA-DKM), on the other hand, can solve the inverse kinematic based on forward kinematic model of only end-effector. But results show that algorithm IKM-GA-DKM isn’t capable of solving redundant mechanisms, with many redundant DOF with the same precision as algorithm IKM-GA-DH.
Keywords:
Inverse kinematics
,
Redundant robotic arm
,
Genetic algorithm
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back