An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios

Abstract — In this paper, we discuss a distributed algorithm for task allocation that solves the Initial Formation Problem within the multi-robot domain. The algorithm has been inte-grated in a multi-robot architecture that couples the task allo-cation behavior with a path planning and navigation mo...

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Main Authors: Antidio Viguria, Ayanna M. Howard
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Arctic
Allo
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.497.6834
http://grvc.us.es/~antidio/archivos/premio_saic.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.497.6834 2023-05-15T14:57:39+02:00 An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios Antidio Viguria Ayanna M. Howard The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.497.6834 http://grvc.us.es/~antidio/archivos/premio_saic.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.497.6834 http://grvc.us.es/~antidio/archivos/premio_saic.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://grvc.us.es/~antidio/archivos/premio_saic.pdf text ftciteseerx 2016-01-08T08:52:04Z Abstract — In this paper, we discuss a distributed algorithm for task allocation that solves the Initial Formation Problem within the multi-robot domain. The algorithm has been inte-grated in a multi-robot architecture that couples the task allo-cation behavior with a path planning and navigation module. Analysis of the efficiency of the tak allocation methodology is provided that compares results from a realistic scenario that simulates achieving multiple science measurements within an Arctic terrain environment. I. Text Arctic Unknown Arctic Allo ENVELOPE(-61.800,-61.800,-63.967,-63.967)
institution Open Polar
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description Abstract — In this paper, we discuss a distributed algorithm for task allocation that solves the Initial Formation Problem within the multi-robot domain. The algorithm has been inte-grated in a multi-robot architecture that couples the task allo-cation behavior with a path planning and navigation module. Analysis of the efficiency of the tak allocation methodology is provided that compares results from a realistic scenario that simulates achieving multiple science measurements within an Arctic terrain environment. I.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Antidio Viguria
Ayanna M. Howard
spellingShingle Antidio Viguria
Ayanna M. Howard
An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios
author_facet Antidio Viguria
Ayanna M. Howard
author_sort Antidio Viguria
title An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios
title_short An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios
title_full An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios
title_fullStr An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios
title_full_unstemmed An Integrated Task Allocation Approach for Multi-Robot Navigation in Realistic Scenarios
title_sort integrated task allocation approach for multi-robot navigation in realistic scenarios
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.497.6834
http://grvc.us.es/~antidio/archivos/premio_saic.pdf
long_lat ENVELOPE(-61.800,-61.800,-63.967,-63.967)
geographic Arctic
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geographic_facet Arctic
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genre Arctic
genre_facet Arctic
op_source http://grvc.us.es/~antidio/archivos/premio_saic.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.497.6834
http://grvc.us.es/~antidio/archivos/premio_saic.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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