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Title:Analiza vpliva senzorske tehnologije na zanesljivost delovanja mobilnega robota v zahtevnih okoljih : magistrsko delo
Authors:ID Jarnovič, Maksim (Author)
ID Gotlih, Janez (Mentor) More about this mentor... New window
ID Logožar, Klavdij (Mentor) More about this mentor... New window
Files:.pdf MAG_Jarnovic_Maksim_2025.pdf (2,40 MB)
MD5: 461BE0507016FA89026EE0436589F2E2
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V magistrski nalogi obravnavamo uporabo avtonomnih mobilnih robotov v kontekstu Industrije 4.0, s poudarkom na izzivih lokalizacije in navigacije v kompleksnih industrijskih okoljih. Tradicionalne metode, ki temeljijo na posameznih senzorskih virih, se pogosto izkažejo za nezanesljive, zato raziskava analizira uporabo multisenzorske fuzije, ki združuje podatke iz LiDAR, IMU in RGB kamer. Osrednji del predstavlja analizo učinkovitosti različnih navigacijskih algoritmov, med katerimi izstopajo EKF, SLAM, DWA in RRT*. Predstavimo tudi simulacijski pristop z uporabo orodij, kot sta MATLAB/Simulink in Gazebo. V ospredju je optimizacija poti, robustnost sistema, odzivnost na okoljske spremembe in zmanjševanje energetske porabe. Ugotovljeno je, da kombinacija senzorjev in naprednih algoritmov vodi do bistveno večje natančnosti in operativne zanesljivosti. Ekonomskega pomena raziskave ni mogoče zanemariti, saj uspešna uvedba AMR tehnologij omogoča zmanjšanje stroškov dela, povečanje produktivnosti in fleksibilno reorganizacijo proizvodnih procesov. Zaključki predstavljajo temelj za nadaljnji razvoj pametnih tovarn, pri čemer je ključna integracija tehničnih in ekonomskih vidikov.
Keywords:robot, senzor, navigacija, okolje, lokalizacija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Jarnovič]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XI, 60 f.))
PID:20.500.12556/DKUM-93583 New window
UDC:007.52(043.2)
COBISS.SI-ID:248707587 New window
Publication date in DKUM:20.08.2025
Views:162
Downloads:44
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:03.07.2025

Secondary language

Language:English
Title:Analysis of sensor integration effects on mobile robot operational performance in adverse environments
Abstract:In this master’s thesis, we examine the use of autonomous mobile robots (AMRs) in the context of Industry 4.0, with the focus on the challenges of localization and navigation in complex industrial environments. Traditional methods based on individual sensor sources often prove to be unreliable; therefore, the research analyzes the application of multisensor fusion, which combines data from LiDAR, IMU, and RGB cameras. The core of the study is the analysis of the efficiency of various navigation algorithms, among which EKF, SLAM, DWA, and RRT* stand out. We also present a simulation-based approach using tools such as MATLAB/Simulink and Gazebo. The focus is on path optimization, system robustness, responsiveness to environmental changes, and reduction of energy consumption. It is found out that the combination of sensors and advanced algorithms leads to significantly higher accuracy and operational reliability. The economic relevance of the research should not be overlooked, as the successful implementation of AMR technologies enables labor cost reduction, increased productivity, and flexible reorganization of production processes. The conclusions serve as a foundation for the further development of smart factories, where the integration of technical and economic aspects is essential.
Keywords:robot, sensor, navigation, environment, localization


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