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undergraduate thesis
Strojno učenje i robotika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:777710
Bilić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Bilić, I. (2019). Strojno učenje i robotika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:777710

Bilić, Ivan. "Strojno učenje i robotika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:777710

Bilić, Ivan. "Strojno učenje i robotika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:777710

Bilić, I. (2019). 'Strojno učenje i robotika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:777710

Bilić I. Strojno učenje i robotika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:777710

I. Bilić, "Strojno učenje i robotika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:777710

Metadata
TitleStrojno učenje i robotika
Title (english)Machine Learning and Robotics
AuthorIvan Bilić
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberIvan Filković (član povjerenstva)
Committee memberAlma Traživuk (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Robotski operativni sustav je skup programskih okvira koji omogućuju razvoj programske podrške za robotske sustave. Sastoji se od skupa nezavisnih komponenata razvijenih od strane inženjera i istraživača. Implementiran je kao distribuirani sustav s mehanizmom objave/pretplate, u kojem je svaki program čvor, što se prikazuje ROS grafom. Nadalje, moguće ga je integrirati s naprednim tehnologijama s područja strojnog učenja što otvara vrata novim istraživanjima i spoznajama. Potporno učenje je grana strojnog učenja koja se formalizira koristeći model Markovljevog procesa odlučivanja. Fundamentalne karakteristike potpornog učenja su interaktivno učenje kroz pokušaj i pogrešku (učenje kroz iskustvo) te cilj u obliku maksimizacije kumulativne sume nagrada uz odabrani faktor propadanja. Velik izazov u potpornom učenju je i problem ravnoteže između istraživanja i eksploatacije.
Abstract (english)
Robotic operating system is a collection of software frameworks for robot software development. ROS is composed from a set of independent components that are developed and maintained by various engineers and researchers. It is implemented as a distributed system along with the publish/subscribe mechanism, where every program is a node, which is visualized by the ROS graph. Furthermore, integration of ROS with advanced machine learning technologies is also possible, which brings new opportunities for research and cognition. Reinforcement learning is a machine learning sub-area that is formalized using the Markov decision process model. Fundamental reinforcement learning characteristics include interactive learning by trial and error (learning by experience) and a goal in the shape of maximizing the discounted cumulative sum of rewards. Also, one of the great challenges of reinforcement learning is the balance between exploration and exploitation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:777710
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2020-01-07 16:47:22