A Behaviour-Based Architecture for Mapless Navigation Using Vision

Autonomous robots operating in an unknown and uncertain environment must be able to cope with dynamic changes to that environment. For a mobile robot in a cluttered environment to navigate successfully to a goal while avoiding obstacles is a challenging problem. This paper presents a new behaviour-b...

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Main Authors: Mehmet Serdar Guzel, Robert Bicker
Format: Article
Language:English
Published: SAGE Publishing 2012-04-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/46200
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author Mehmet Serdar Guzel
Robert Bicker
author_facet Mehmet Serdar Guzel
Robert Bicker
author_sort Mehmet Serdar Guzel
collection DOAJ
description Autonomous robots operating in an unknown and uncertain environment must be able to cope with dynamic changes to that environment. For a mobile robot in a cluttered environment to navigate successfully to a goal while avoiding obstacles is a challenging problem. This paper presents a new behaviour-based architecture design for mapless navigation. The architecture is composed of several modules and each module generates behaviours. A novel method, inspired from a visual homing strategy, is adapted to a monocular vision-based system to overcome goal-based navigation problems. A neural network-based obstacle avoidance strategy is designed using a 2-D scanning laser. To evaluate the performance of the proposed architecture, the system has been tested using Microsoft Robotics Studio (MRS), which is a very powerful 3D simulation environment. In addition, real experiments to guide a Pioneer 3-DX mobile robot, equipped with a pan-tilt-zoom camera in a cluttered environment are presented. The analysis of the results allows us to validate the proposed behaviour-based navigation strategy.
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spelling doaj.art-a20bcf2cbd37471ca3a4be00c59edbc62022-12-22T03:44:56ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142012-04-01910.5772/4620010.5772_46200A Behaviour-Based Architecture for Mapless Navigation Using VisionMehmet Serdar GuzelRobert BickerAutonomous robots operating in an unknown and uncertain environment must be able to cope with dynamic changes to that environment. For a mobile robot in a cluttered environment to navigate successfully to a goal while avoiding obstacles is a challenging problem. This paper presents a new behaviour-based architecture design for mapless navigation. The architecture is composed of several modules and each module generates behaviours. A novel method, inspired from a visual homing strategy, is adapted to a monocular vision-based system to overcome goal-based navigation problems. A neural network-based obstacle avoidance strategy is designed using a 2-D scanning laser. To evaluate the performance of the proposed architecture, the system has been tested using Microsoft Robotics Studio (MRS), which is a very powerful 3D simulation environment. In addition, real experiments to guide a Pioneer 3-DX mobile robot, equipped with a pan-tilt-zoom camera in a cluttered environment are presented. The analysis of the results allows us to validate the proposed behaviour-based navigation strategy.https://doi.org/10.5772/46200
spellingShingle Mehmet Serdar Guzel
Robert Bicker
A Behaviour-Based Architecture for Mapless Navigation Using Vision
International Journal of Advanced Robotic Systems
title A Behaviour-Based Architecture for Mapless Navigation Using Vision
title_full A Behaviour-Based Architecture for Mapless Navigation Using Vision
title_fullStr A Behaviour-Based Architecture for Mapless Navigation Using Vision
title_full_unstemmed A Behaviour-Based Architecture for Mapless Navigation Using Vision
title_short A Behaviour-Based Architecture for Mapless Navigation Using Vision
title_sort behaviour based architecture for mapless navigation using vision
url https://doi.org/10.5772/46200
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