Nadgradnja avtomatsko vodenega vozila s sistemom ROS

diplomsko delo

Luka Slapnik (Author), Darko Hercog (Mentor), Tone Lerher (Mentor)

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

avtomatsko vodena vozila;sistem ROS;testna vozila;ročno vodenje;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[L. Slapnik]
UDC:	681.5(043.2)
COBISS:	39221763
Views:	318
Downloads:	52
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	An upgrade of automated guded vehicle using ROS system
Secondary 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.
Secondary keywords:	AGV;ROS;SLAM;Raspberry PI;RPLIDAR;Gazebo;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Mehatronika
Pages:	VIII, 38 f.
ID:	11978225