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undergraduate thesis
Klasifikacija objekata humanoidnim Nao robotom
Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. urn:nbn:hr:126:767349
Vnuk, David Matej
Josip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics

Institutional repository: Repository of School of Applied Mathematics and Informatics

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Vnuk, D. M. (2024). Klasifikacija objekata humanoidnim Nao robotom (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:767349

Vnuk, David Matej. "Klasifikacija objekata humanoidnim Nao robotom." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:126:767349

Vnuk, David Matej. "Klasifikacija objekata humanoidnim Nao robotom." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:126:767349

Vnuk, D. M. (2024). 'Klasifikacija objekata humanoidnim Nao robotom', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, accessed 21 December 2024, https://urn.nsk.hr/urn:nbn:hr:126:767349

Vnuk DM. Klasifikacija objekata humanoidnim Nao robotom [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics; 2024 [cited 2024 December 21] Available at: https://urn.nsk.hr/urn:nbn:hr:126:767349

D. M. Vnuk, "Klasifikacija objekata humanoidnim Nao robotom", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:126:767349

Metadata
TitleKlasifikacija objekata humanoidnim Nao robotom
Title (english)Classification of Objects with a Humanoid Nao Robot
AuthorDavid Matej Vnuk
MentorZoran Tomljanović (mentor)
MentorKristian Sabo (komentor)
GranterJosip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics
Osijek
Defense date and country2024-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Applied Mathematics and Mathematical Modeling
Abstract
U ovom završnom radu opisat ćemo način na koji upravljamo humanoidnim NAO robotom te kako pohranjujemo sliku s kamere ugrađene na glavi robota. Prikazat ćemo razvoj ideje, tijek implementacije te proces testiranja. Detaljno ćemo objasniti tri metode koje koristimo kako bismo obradili pohranjenu sliku te ćemo na osnovu prikupljenih informacija, klasificirati objekt u dvije skupine. Negativno klasificiranoj skupini pripadat će objekti koji nisu lopta, dok će pozitivno klasificiranoj skupini pripadati objekti nalik lopti. Spajanje i upravljanje robotom odvijat će se u programskom softveru Choreographe [1], dok će obrada slike biti provedena unutar Python [2] programskog jezika. Nakon implementacije, spojit ćemo se na stvarnog robota te pozvati metode kojima pohranjujemo i obrađujemo sliku. Ovisno o klasifikaciji, robot na glas izgovara kojoj od moguće dvije skupine objekt pripada. Na kraju ćemo rada prikazati rezultate i usporediti rad svih triju metoda na što ćemo se nadovezati u zaključku.
Abstract (english)
In this final paper, we will describe how we control the humanoid NAO robot and how we store the image from the camera installed on the robot's head. We will show the development of the idea, the implementation process and the testing process. We will explain in detail the three methods we use to process the stored image and, based on the collected information, we will classify the object into two groups. Objects that do not look like a ball will belong to the negatively classified group, while objects that look like balls will belong to the positively classified group. Connecting and controlling the robot will take place in the Choreographe software [1], while the image processing will be done within the Python [2] programming language. After implementation, we will connect to the real robot and call the methods by which we store and process the image. Depending on the classification, the robot says out loud which of the two possible groups the object belongs to. At the end of the paper, we will present the results and compare all three methods, which we will follow up on in the conclusion.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:767349
Study programmeTitle: Bachelor of Mathematics and Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-07 10:09:17