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master's thesis
Planiranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije
Rijeka: University of Rijeka, Faculty of Engineering, 2019. urn:nbn:hr:190:565649
Baressi Šegota, Sandi
University of Rijeka
Faculty of Engineering
Department of Industrial Engineering and Management
Section of Production Equipment and Robotics

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

Cite this document

Baressi Šegota, S. (2019). Planiranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:565649

Baressi Šegota, Sandi. "Planiranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:565649

Baressi Šegota, Sandi. "Planiranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:565649

Baressi Šegota, S. (2019). 'Planiranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 24 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:565649

Baressi Šegota S. Planiranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2024 December 24] Available at: https://urn.nsk.hr/urn:nbn:hr:190:565649

S. Baressi Šegota, "Planiranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:565649

Metadata
TitlePlaniranje i optimizacija putanje robotskog manipulatora primjenom algoritama umjetne inteligencije
Title (english)Planning and optimizing the robot manipulator's path using artificial intelligence algorithms
AuthorSandi Baressi Šegota
MentorZlatan Car (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberIvo Ipšić (član povjerenstva)
Committee memberGoran Mauša (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Industrial Engineering and Management)
(Section of Production Equipment and Robotics)
Rijeka
Defense date and country2019-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Primjenom Lagrange-Euler i Newton-Eulerove metode odreduju se dinamičke jednadžbe robotskog manipulatora. Ove diferencijalne jednadžbe su potrebne za optimizaciju putanje robotskog manipulatora metodama umjetne inteligencije poput genetskog algoritma, diferencijalne evolucije i simuliranog kaljenja. Daje se usporedba tih metoda evolucijskog računarstva nad zadanim problemom. U zaključku se pokazuje da metode genetskog algoritma i diferencijalne evolucije daju najbolje rezultate u ovisnosti o slučaju.
Abstract (english)
The Lagrange-Euler and the Newton-Euler methods are used to determine the dynamic equations of a robotic manipulator. This differential equations are needed for path optimization of the robotic manipulator using artificial intelligence methods, such as genetic algorithm, differential evolution and simulated annealing. The paper compares multiple evolutionary computing techniques on the given problem. Conclusion shows that the best results are gained using the genetic algorithm and differential evolution methods.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:565649
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-09-19 12:50:24