Behavior based mobile robot vision for navigation

This project focuses on the navigation strategies of multi-robot system. Most work on navigation strategies of multi-robot system has been empirical, with many navigation architectures having been proposed and validated. With the goal of bringing some objective grounding to this important area of re...

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Main Author: Mohammad S., Al-Khalifah Sami
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/31909/5/Al-KhalifahSamiMohammadSMFKE2012.pdf
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id my-utm-ep.31909
record_format uketd_dc
spelling my-utm-ep.319092017-09-21T09:51:53Z Behavior based mobile robot vision for navigation 2012-06 Mohammad S., Al-Khalifah Sami TK Electrical engineering. Electronics Nuclear engineering This project focuses on the navigation strategies of multi-robot system. Most work on navigation strategies of multi-robot system has been empirical, with many navigation architectures having been proposed and validated. With the goal of bringing some objective grounding to this important area of research, this project presents a study in i-MARS. A domain-independent taxonomy of i-MARS problems is given. This project demonstrates how such theories can be used for analysis and greater understanding of the problems, and suggests how the same theory can be used in the synthesis of new approaches. Intelligent multi agent robot system (i- MARS) is a set of robots that can communicate between each other to complete certain task. This report presents a project on vision behavior based robot navigation strategy for a single robot that can be used in multi agent robot. The platform is given the name “UTM Multi agent robot’ is designed for research activity purpose and it has a great potential for future development. 2012-06 Thesis http://eprints.utm.my/id/eprint/31909/ http://eprints.utm.my/id/eprint/31909/5/Al-KhalifahSamiMohammadSMFKE2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Mohammad S., Al-Khalifah Sami
Behavior based mobile robot vision for navigation
description This project focuses on the navigation strategies of multi-robot system. Most work on navigation strategies of multi-robot system has been empirical, with many navigation architectures having been proposed and validated. With the goal of bringing some objective grounding to this important area of research, this project presents a study in i-MARS. A domain-independent taxonomy of i-MARS problems is given. This project demonstrates how such theories can be used for analysis and greater understanding of the problems, and suggests how the same theory can be used in the synthesis of new approaches. Intelligent multi agent robot system (i- MARS) is a set of robots that can communicate between each other to complete certain task. This report presents a project on vision behavior based robot navigation strategy for a single robot that can be used in multi agent robot. The platform is given the name “UTM Multi agent robot’ is designed for research activity purpose and it has a great potential for future development.
format Thesis
qualification_level Master's degree
author Mohammad S., Al-Khalifah Sami
author_facet Mohammad S., Al-Khalifah Sami
author_sort Mohammad S., Al-Khalifah Sami
title Behavior based mobile robot vision for navigation
title_short Behavior based mobile robot vision for navigation
title_full Behavior based mobile robot vision for navigation
title_fullStr Behavior based mobile robot vision for navigation
title_full_unstemmed Behavior based mobile robot vision for navigation
title_sort behavior based mobile robot vision for navigation
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2012
url http://eprints.utm.my/id/eprint/31909/5/Al-KhalifahSamiMohammadSMFKE2012.pdf
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