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master's thesis
Upravljanje mobilnim robotom primjenom evolucijskih algoritama
Rijeka: University of Rijeka, Faculty of Engineering, 2021. urn:nbn:hr:190:790436
Palaić, Darko
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Electronics, Robotics and Automation

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

Cite this document

Palaić, D. (2021). Upravljanje mobilnim robotom primjenom evolucijskih algoritama (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:790436

Palaić, Darko. "Upravljanje mobilnim robotom primjenom evolucijskih algoritama." Master's thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:790436

Palaić, Darko. "Upravljanje mobilnim robotom primjenom evolucijskih algoritama." Master's thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:790436

Palaić, D. (2021). 'Upravljanje mobilnim robotom primjenom evolucijskih algoritama', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 11 June 2024, https://urn.nsk.hr/urn:nbn:hr:190:790436

Palaić D. Upravljanje mobilnim robotom primjenom evolucijskih algoritama [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2024 June 11] Available at: https://urn.nsk.hr/urn:nbn:hr:190:790436

D. Palaić, "Upravljanje mobilnim robotom primjenom evolucijskih algoritama", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:790436

Metadata
TitleUpravljanje mobilnim robotom primjenom evolucijskih algoritama
Title (english)Mobile Robot Control through the application of evolutionary algorithms
AuthorDarko Palaić
MentorZlatan Car (mentor)
Committee memberRene Prenc (predsjednik povjerenstva)
Committee memberZlatan Car (član povjerenstva)
Committee memberDario Matika (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2021-03-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu je konstruiran mobilni robot (tenk) zajedno s daljinskim upravljačem (kontroler). Od važnih komponenti na robotu su ugrađeni Arduino Nano, Raspberry pi, lidar uređaj i nrf24l01 komunikacijski modul, ali korištene su i brojne druge komponente. Kretanje mobilnog robota se regulira putem daljinskog upravljača te mobilni robot se može direktno upravljati ili postaviti u autonomni način rada. U autonomnom načinu rada, mobilni robot izbjegava prepreke pomoću ultrazvučnog senzora. U direktnom upravljanju, kretanje je određeno tipkama ili džojstikom. Svi statusi mobilnog robota su prikazani na LCD ekranu daljinskog upravljača. Svrha izrade mobilnog robota je mapiranje prostora i planiranje putanje. Sve važnije obrade podataka odvijaju se u Raspberry pi. Za mapiranje prostora se koristi lidar uređaj i python knjižnice za SLAM algoritme. Na izrađenoj mapi su implementirani heuristički, probabilistički i genetski algoritmi za planiranje putanje.
Abstract (english)
In this paper, a mobile robot(tank) is constructed together with a remote control (controller). Important components on the robot include the Arduino Nano, Raspberry pi, lidar device and nrf24l01 communication module, but a number of other components were also used. The movements of the mobile robot are regulated via a remote control and the mobile robot can be directly controlled or set to autonomous mode. In autonomous mode, the mobile robot avoids obstacles with the help of an ultrasonic sensor. In direct control, the movements are determined by the buttons or the joystick. All mobile robot stats are displayed on the LCD screen of the remote control. The purpose of making a mobile robot is to built map of space and plan a route. All major data processing takes place in the Raspberry pi. A lidar device and python libraries for SLAM algorithms are used to map the space. heuristic, probabilistic and genetic algorithms for path planning have been implemented on the created map.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:790436
Study programmeTitle: Graduate University Study of Electrical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-06 08:25:55