Navigation Method for Autonomous Robots in a Dynamic Indoor Environment

The present paper considers issues related to navigation by autonomous mobile robots in overcrowded dynamic indoor environments (e.g., shopping malls, exhibition halls or convention centers). For robots moving among potentially unaware bystanders, safety is a key issue. A navigation method based on...

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Main Authors: Stanislav Věchet, Kuo-Shen Chen, Jiří Krejsa
Format: Article
Language:English
Published: Chinese Institute of Automation Engineers (CIAE) & Taiwan Smart Living Space Association (SMART LISA) 2013-11-01
Series:International Journal of Automation and Smart Technology
Subjects:
Online Access:http://www.ausmt.org/index.php/AUSMT/article/view/214
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author Stanislav Věchet
Kuo-Shen Chen
Jiří Krejsa
author_facet Stanislav Věchet
Kuo-Shen Chen
Jiří Krejsa
author_sort Stanislav Věchet
collection DOAJ
description The present paper considers issues related to navigation by autonomous mobile robots in overcrowded dynamic indoor environments (e.g., shopping malls, exhibition halls or convention centers). For robots moving among potentially unaware bystanders, safety is a key issue. A navigation method based on mixed potential field path planning is proposed, in cooperation with active artificial landmarks-based localization, in particular the bearing of infrared beacons placed in known coordinates processed via particle filters. Simulation experiments and tests in unmodified real-world environments with the actual robot show the proposed navigation system allows the robot to successfully navigate safely among bystanders.
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publisher Chinese Institute of Automation Engineers (CIAE) & Taiwan Smart Living Space Association (SMART LISA)
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spelling doaj.art-0ed9b9989cbe4a3da3c14b2217c48cfc2022-12-22T01:18:09ZengChinese Institute of Automation Engineers (CIAE) & Taiwan Smart Living Space Association (SMART LISA)International Journal of Automation and Smart Technology2223-97662013-11-013427327710.5875/ausmt.v3i4.214111Navigation Method for Autonomous Robots in a Dynamic Indoor EnvironmentStanislav Věchet0Kuo-Shen Chen1Jiří Krejsa2Brno University of Technology, Faculty of Mechanical Engineering, Czech RepublicNational Cheng Kung University, Department of Mechanical Engineering, TaiwanInstitute of Thermomechanics AS CR, v.v.i., Czech Academy of Sciences, Czech RepublicThe present paper considers issues related to navigation by autonomous mobile robots in overcrowded dynamic indoor environments (e.g., shopping malls, exhibition halls or convention centers). For robots moving among potentially unaware bystanders, safety is a key issue. A navigation method based on mixed potential field path planning is proposed, in cooperation with active artificial landmarks-based localization, in particular the bearing of infrared beacons placed in known coordinates processed via particle filters. Simulation experiments and tests in unmodified real-world environments with the actual robot show the proposed navigation system allows the robot to successfully navigate safely among bystanders.http://www.ausmt.org/index.php/AUSMT/article/view/214Particle filters, Autonomous mobile robots, Navigation in dynamic environments, Mixed potential fields
spellingShingle Stanislav Věchet
Kuo-Shen Chen
Jiří Krejsa
Navigation Method for Autonomous Robots in a Dynamic Indoor Environment
International Journal of Automation and Smart Technology
Particle filters, Autonomous mobile robots, Navigation in dynamic environments, Mixed potential fields
title Navigation Method for Autonomous Robots in a Dynamic Indoor Environment
title_full Navigation Method for Autonomous Robots in a Dynamic Indoor Environment
title_fullStr Navigation Method for Autonomous Robots in a Dynamic Indoor Environment
title_full_unstemmed Navigation Method for Autonomous Robots in a Dynamic Indoor Environment
title_short Navigation Method for Autonomous Robots in a Dynamic Indoor Environment
title_sort navigation method for autonomous robots in a dynamic indoor environment
topic Particle filters, Autonomous mobile robots, Navigation in dynamic environments, Mixed potential fields
url http://www.ausmt.org/index.php/AUSMT/article/view/214
work_keys_str_mv AT stanislavvechet navigationmethodforautonomousrobotsinadynamicindoorenvironment
AT kuoshenchen navigationmethodforautonomousrobotsinadynamicindoorenvironment
AT jirikrejsa navigationmethodforautonomousrobotsinadynamicindoorenvironment