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master's thesis
Učenje robota putem višemodalne interakcije
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2017. urn:nbn:hr:235:432610
Vitez, Nikola
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

Vitez, N. (2017). Učenje robota putem višemodalne interakcije (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:432610

Vitez, Nikola. "Učenje robota putem višemodalne interakcije." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2017. https://urn.nsk.hr/urn:nbn:hr:235:432610

Vitez, Nikola. "Učenje robota putem višemodalne interakcije." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2017. https://urn.nsk.hr/urn:nbn:hr:235:432610

Vitez, N. (2017). 'Učenje robota putem višemodalne interakcije', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 03 May 2024, https://urn.nsk.hr/urn:nbn:hr:235:432610

Vitez N. Učenje robota putem višemodalne interakcije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2017 [cited 2024 May 03] Available at: https://urn.nsk.hr/urn:nbn:hr:235:432610

N. Vitez, "Učenje robota putem višemodalne interakcije", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:235:432610

Metadata
TitleUčenje robota putem višemodalne interakcije
Title (english)Teaching robot by multimodal interaction
AuthorNikola Vitez
MentorBojan Jerbić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2017-07-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Ovaj diplomski rad istražuje mogućnosti učenja robota višemodalnom interakcijom čovjeka i robota koja podrazumijeva robotsku percepciju stanja okoline temeljem više vrsta senzora. U radu je najprije opisan korišteni eksperimentalni postav, a zatim je ispitana mogućnost klasifikacije i prepoznavanja radnji pisanja i brisanja ploče. Klasifikacija radnji provedena je na temelju analize mjerenih podataka koji se prikupljaju iz inercijskog mjernog uređaja i vizijskog sustava Polaris Vicra. U drugom dijelu rada je razvijeno učenje robota brisanju na temelju prepoznavanja radnje brisanja razvijenim klasifikacijskim algoritmom te je implementiran primjer rada robotskog sustava na temelju jednostavne klasifikacije naučenih pokreta brisanja.
Abstract (english)
This master thesis explores the possibilities of robot learning by the multi-modal interaction of man and robot, which implies a robotic perception of the environment on the basis of several different types of sensors. In this paper, the experimental setup used was first described, and then the possibility of classifying and recognizing actions of writing and wiping off of whiteboard was examined. The classification of the actions was carried out on the basis of the analysis of measured data collected from the inertial measurement unit and the vision system Polaris Vicra. In the second part of the paper, learning a robot to wipe off the whiteboard has been developed based on the recognition of the action of wiping by a developed classification algorithm, futhermore an example of work of robotic system based on a simple classification of the learned movements during action of wiping is implemented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:432610
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-05-22 19:36:36