Unaprjeđenje performansi robotskih usisavača putem poboljšane izgradnje karata

master's thesis

• Title (english): Enhancing Robotic Vacuum Cleaner Performance through Improved Map Building
• Author: Leon Krapinec
• Mentor: Marija Seder (mentor)
• Committee member: Ivan Marković (član povjerenstva)
• Committee member: Luka Petrović (član povjerenstva)
• Committee member: Ivan Petrović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2025-02-25, Croatia

Abstract

This thesis aims to enhance the performance of older models of robotic vacuum cleaners by improving the space mapping procedure despite limited sensor capabilities and exploration strategies. The work primarily focuses on developing a method for creating maps of their environment despite limited sensor data. The aim is to design a space exploration strategy suitable for older robotic vacuum cleaners' computational and sensor capabilities. The proposed methodology uses sensor fusion to overcome... More sensor limitations, resulting in improved map accuracy while maximizing coverage. The implementation of this approach will be carried out within the Robot Operating System (ROS) environment. Less

Abstract (english)

This thesis aims to enhance the performance of older models of robotic vacuum cleaners by improving the space mapping procedure despite limited sensor capabilities and exploration strategies. The work primarily focuses on developing a method for creating maps of their environment despite limited sensor data. The aim is to design a space exploration strategy suitable for older robotic vacuum cleaners' computational and sensor capabilities. The proposed methodology uses sensor fusion to... More overcome sensor limitations, resulting in improved map accuracy while maximizing coverage. The implementation of this approach will be carried out within the Robot Operating System (ROS) environment. Less

• Keywords: mapping; localization; robot vacuum cleaner; ROS; mapping algorithms; odometry; sensors
• Keywords (english): mapping; localization; robot vacuum cleaner; ROS; mapping algorithms; odometry; sensors
• Language: english
• URN:NBN: urn:nbn:hr:168:101738
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2025-03-12 11:10:43