Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees

A Master of Science thesis in Mechatronics Engineering by Hassan Abdul-Rahman Umari entitled, "Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees," submitted in May 2017. Thesis advisor is Dr. Shayok Mukhopadhyay. Soft and hard copy available.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Umari, Hassan Abdul-Rahman (author)
التنسيق: doctoralThesis
منشور في: 2017
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/8857
الوسوم: إضافة وسم
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author Umari, Hassan Abdul-Rahman
author_facet Umari, Hassan Abdul-Rahman
author_role author
dc.contributor.none.fl_str_mv Mukhopadhyay, Shayok
dc.creator.none.fl_str_mv Umari, Hassan Abdul-Rahman
dc.date.none.fl_str_mv 2017-05-31T08:43:34Z
2017-05-31T08:43:34Z
2017-05
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.identifier.none.fl_str_mv 35.232-2017.10
http://hdl.handle.net/11073/8857
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Mapping
Exploration
ROS
Robot Operating System (ROS)
Multi Agent
RRT
Rapidly-exploring Random Trees (RRTs)
Autonomous robots
Digital mapping
Navigation
Algorithms
dc.title.none.fl_str_mv Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechatronics Engineering by Hassan Abdul-Rahman Umari entitled, "Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees," submitted in May 2017. Thesis advisor is Dr. Shayok Mukhopadhyay. Soft and hard copy available.
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network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/8857
publishDate 2017
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized TreesUmari, Hassan Abdul-RahmanMappingExplorationROSRobot Operating System (ROS)Multi AgentRRTRapidly-exploring Random Trees (RRTs)Autonomous robotsDigital mappingNavigationAlgorithmsA Master of Science thesis in Mechatronics Engineering by Hassan Abdul-Rahman Umari entitled, "Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees," submitted in May 2017. Thesis advisor is Dr. Shayok Mukhopadhyay. Soft and hard copy available.Efficient robotic navigation requires a predefined map. In order to autonomously acquire a map, it is desired that robots have the ability to explore unknown environments with minimum cost and time, while ensuring complete map coverage. Meeting these requirements is challenging, and has attracted a lot of research. Various autonomous map exploration strategies exist, which direct robots to unexplored space by detecting frontiers. Frontiers are boundaries separating known space form unknown space. Usually frontier detection utilizes image processing tools like edge detection, thus limiting it to two dimensional (2-D) exploration. In this work we present a new exploration strategy based on the use of multiple Rapidly-exploring Random Trees (RRTs). The RRT algorithm is chosen because it is biased towards unexplored regions. Also, using RRT provides a general approach which can be extended to higher dimensional spaces. The proposed strategy is implemented and tested using the Robot Operating System (ROS) framework. Additionally this work uses local and global trees for detecting frontier points, which enables efficient robotic exploration. Further more, a marketbased task allocation strategy for coordination between multiple robots is adopted. Simulations and experimental results show that the proposed strategy can successfully extract frontiers, and explore the entire map in a reasonable amount of time, and with a reduced map exploration cost. It is also shown in this work that the proposed approach has the above mentioned performance benefits without substantially losing performance when compared against image processing-based frontier detection techniques in two dimensional spaces.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Mukhopadhyay, Shayok2017-05-31T08:43:34Z2017-05-31T08:43:34Z2017-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdf35.232-2017.10http://hdl.handle.net/11073/8857en_USoai:repository.aus.edu:11073/88572025-06-26T12:27:45Z
spellingShingle Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
Umari, Hassan Abdul-Rahman
Mapping
Exploration
ROS
Robot Operating System (ROS)
Multi Agent
RRT
Rapidly-exploring Random Trees (RRTs)
Autonomous robots
Digital mapping
Navigation
Algorithms
status_str publishedVersion
title Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
title_full Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
title_fullStr Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
title_full_unstemmed Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
title_short Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
title_sort Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
topic Mapping
Exploration
ROS
Robot Operating System (ROS)
Multi Agent
RRT
Rapidly-exploring Random Trees (RRTs)
Autonomous robots
Digital mapping
Navigation
Algorithms
url http://hdl.handle.net/11073/8857