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undergraduate thesis
Primjena NEAT algoritma za navigaciju mobilnog robota
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. urn:nbn:hr:235:704585
Gajdek, Vita
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Gajdek, V. (2024). Primjena NEAT algoritma za navigaciju mobilnog robota (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:704585

Gajdek, Vita. "Primjena NEAT algoritma za navigaciju mobilnog robota." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:704585

Gajdek, Vita. "Primjena NEAT algoritma za navigaciju mobilnog robota." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:704585

Gajdek, V. (2024). 'Primjena NEAT algoritma za navigaciju mobilnog robota', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:704585

Gajdek V. Primjena NEAT algoritma za navigaciju mobilnog robota [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2024 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:704585

V. Gajdek, "Primjena NEAT algoritma za navigaciju mobilnog robota", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:235:704585

Metadata
TitlePrimjena NEAT algoritma za navigaciju mobilnog robota
Title (english)Application of the NEAT algorithm for mobile robot navigation
AuthorVita Gajdek
MentorPetar Ćurković (mentor)
Committee memberVladimir Milić (član povjerenstva)
Committee memberPetar Ćurković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2024-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Tehnološki napredak u posljednjih nekoliko desetljeća uvelike se oslanja na postignuća ostvarena u strojnom učenju. Danas je gotovo nemoguće zamisliti modernu tehnologiju koja ne koristi umjetne neuronske mreže. Težnja za optimizacijom inteligentnih sustava potaknula je i razvoj evolucijskog računarstva inspiriranog principima prirodne evolucije. U ovom će se radu objasniti mehanizmi evolucijskih algoritama čijom se primjenom nastoji poboljšati put do rješenja kompleksnih zadataka. Cilj rada je analizirati NEAT (engl. NeuroEvolution of Augmenting Topologies) algoritam i osvrnuti se na njegovu implementaciju u području mobilne robotike. Korištenjem biblioteke neat-python u programskom jeziku python implementirat će se NEAT algoritam u svrhu navigacije mobilnih robota. Analizirat će se rezultati simulacije te će se dati prijedlozi za daljnji rad.
Abstract (english)
Advancements in technology in the last few decades stem from the achievements in the field of machine learning. It is almost impossible to imagine modern day technology that isn't using artificial neural networks. Evolutionary computation has gained significant interest due to the constant strive for optimization of intelligent systems. This study elaborates on the concepts of evolutionary algorithms that are aimed to improve problem solving processes of more complex tasks. The goal is to analize NEAT (NeuroEvolution of Augmenting Topologies) algorithm in the context of mobile robotics. Furthermore, the NEAT algorithm will be implemented in Python using neat-python library in order to simulate a controller of a mobile robot. The simulation results shall be analized for multiple cases.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:704585
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-25 16:12:16