Autonomno istraživanje prostora pomoću bespilotne letjelice primjenom algoritma temeljenog na brzorastućim slučajnim stablima

master's thesis

• Title (english): Autonomous space exploration using an unmanned aerial vehicle based on rapidly exploring random trees
• Author: Erik Leibner
• Mentor: Stjepan Bogdan (mentor)
• Committee member: Stjepan Bogdan (predsjednik povjerenstva)
• Committee member: Zdenko Kovačić (član povjerenstva)
• Committee member: Goran Vasiljević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

U rad je prikazano proširenje postojećeg algoritma za autonomno istraživanje prostora pomoću bespilotne letjelice. Algoritam se temelji na brzorastućim slučajnim stablima te je predstavljena metoda praćenja povijesti. Eksperimentalni rezultati su provedeni u Gazebo simulacijskom okruženju.

Abstract (english)

The thesis presents an extension of the existing algorithm for autonomous exploration using an unmanned aerial vehicle (UAV). The algorithm is based on Rapidly-exploring random trees and a history tracking method is presented. The experimental results were performed in the Gazebo simulation environment.

• Keywords: autonomno istraživanje; robotika; bespilotna letjelica
• Keywords (english): autonomous exploration; robotics; unmanned aerial vehicle
• Language: croatian
• URN:NBN: urn:nbn:hr:168:676945
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 15:24:05