prikaz prve stranice dokumenta Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter
No public access
undergraduate thesis
Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:191952
Ančić, Marija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ančić, M. (2018). Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:191952

Ančić, Marija. "Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:191952

Ančić, Marija. "Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:191952

Ančić, M. (2018). 'Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 09 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:191952

Ančić M. Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 August 09] Available at: https://urn.nsk.hr/urn:nbn:hr:168:191952

M. Ančić, "Primjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:191952

Metadata
TitlePrimjena samoučećeg algoritma za crtanje robotskom rukom robota Baxter
Title (english)Learning algorithm for drawing using Baxter robotic arm
AuthorMarija Ančić
MentorMarija Seder (mentor)
Committee memberMarija Seder (predsjednik povjerenstva)
Committee memberFilip Marić (član povjerenstva)
Committee memberLuka Petrović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu opisan je robot Baxter i njegove glavne karakteristike, posebno obraćajući pažnji na one karakteristike koje će biti korištene tijekom izrade projekta. Na samom početku rada opisuje se postupak analize slike pri kojem se koristi Pythonova biblioteka OpenCV. Korištene funkcije iz ove biblioteke su detaljno opisane i prikazani su dobiveni rezultati. Zatim se uvodi pojam dubokog učenja i zajedno s njim opisane su glavne karakteristike neuronskih mreža. Za treniranje neuronske mreže upotrjebljena je MINST baza podataka, a za razvoj algoritma koristi se Pythonova biblioteka Keras. Završni dio rada se bazira na teach-in tehnici učenja snimanja i reproduciranja trajektorija povučenih robotskom rukom. Na samom kraju su prikazani i opisan dobiveni rezultati.
Abstract (english)
In this paper, the robot Baxter and its main features are described, paying particular attention to those characteristic that will be used during the project. At the very beginning of the work, the process of image analysis using the Python OpenCV library is described. The functions used in this library are described in detail and the results are presented. Then the concept of deep learning is introduced and together with it are described the main features of the neural networks. For training neural networks was used MINST database, and for developing algorithm Python library Keras. The final part of the work is based on teach-in technique of recording and reproduction of trajectories withdrawn by robotic hands. At the very end, the results are shown and described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:191952
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2019-03-13 18:36:24