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Title:Nadgradnja avtomatsko vodenega vozila s sistemom ROS : diplomsko delo
Authors:ID Slapnik, Luka (Author)
ID Hercog, Darko (Mentor) More about this mentor... New window
ID Lerher, Tone (Mentor) More about this mentor... New window
Files:.pdf UN_Slapnik_Luka_2020.pdf (2,97 MB)
MD5: BF72558267B4423A78F4656CFEF9741E
PID: 20.500.12556/dkum/6ddb10d0-ce66-4948-8d18-dd0b09ac3f21
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo obravnava nadgradnjo avtomatsko vodenega vozila s sistemom ROS. Prvi del vsebuje predstavitev in način delovanja sistema ROS, ki je trenutno eden najbolj razširjenih načinov programiranja vseh vrst robotov. V nadaljevanju so opisane pomembnejše komponente strojne opreme, njihova vloga v celotnem sistemu in načini vgradnje ter povezovanja z ostalimi komponentami. V zadnjem delu pa je opisana implementacija algoritma SLAM in mapiranje prostora z uporabo Lidarja senzorja ter simulacija avtonomne navigacije v programu Gazebo.
Keywords:AGV, ROS, SLAM, Raspberry PI, RPLIDAR, Gazebo
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[L. Slapnik]
Year of publishing:2020
Number of pages:VIII, 38 f.
PID:20.500.12556/DKUM-77321 New window
UDC:681.5(043.2)
COBISS.SI-ID:39221763 New window
NUK URN:URN:SI:UM:DK:ZZMFV9RE
Publication date in DKUM:03.11.2020
Views:924
Downloads:102
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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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:26.08.2020

Secondary language

Language:English
Title:An upgrade of automated guded vehicle using ROS system
Abstract:The bachelor thesis focuses on an upgrade of automatically guided vehicle using ROS system. The first part of the thesis contains an inroduction and working principle of the ROS system, which is currently one of the most widespread ways of programming all types of robots. The following sections contain description of the hardware components, their role in the system and the methods of installation and connection with other components. The last part describes the implementation of the SLAM algorithm and space mapping using the Lidar sensor and the simulation of autonomous navigation in the Gazebo program.
Keywords:AGV, ROS, SLAM, Raspberry PI, RPLIDAR, Gazebo


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