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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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) |
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ftciteseerx |
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English |
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 |
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ENVELOPE(-61.800,-61.800,-63.967,-63.967) |
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Arctic Allo |
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Arctic Allo |
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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1766329774070824960 |