Using multi-UAV for rescue environment mapping: task planning optimization approach
Main Author: | |
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Publication Date: | 2021 |
Other Authors: | , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10198/24649 |
Summary: | Rescuing survivors in unknown environment can be extreme difficulty. The use of UAVs to map the environment and also to obtain remote information can benefit the rescue tasks. This paper proposes an organizational system for multi-UAVs to map indoor environments that have been affected by a natural disaster. The robot’s organization is focused on avoiding possible collisions between swarm’s members, and also to prevent searching in locations that have already discovered. This organizational approach is inspired by bees behavior. Thus, the multi- UAVs must search, in a collaborative way, in order to map the scenario in the shortest possible time and, consequently, to travel the shortest reasonable distance. Therefore, three strategies were evaluated in a simulation scenario created in the V-REP software. The results indicate the feasibility of the proposed approach and compare the three plans based on the number of locations discovered and the path taken by each UAV. |
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Using multi-UAV for rescue environment mapping: task planning optimization approachUnmanned aerial vehiclesMultiple UAVCollaborative environment mappingPath planningRescuing survivors in unknown environment can be extreme difficulty. The use of UAVs to map the environment and also to obtain remote information can benefit the rescue tasks. This paper proposes an organizational system for multi-UAVs to map indoor environments that have been affected by a natural disaster. The robot’s organization is focused on avoiding possible collisions between swarm’s members, and also to prevent searching in locations that have already discovered. This organizational approach is inspired by bees behavior. Thus, the multi- UAVs must search, in a collaborative way, in order to map the scenario in the shortest possible time and, consequently, to travel the shortest reasonable distance. Therefore, three strategies were evaluated in a simulation scenario created in the V-REP software. The results indicate the feasibility of the proposed approach and compare the three plans based on the number of locations discovered and the path taken by each UAV.This work is supported by Grant #337/2014 (Fundação Araucária - Brazil), the grant from the bi-national cooperation scheme of UTFPR- IPB and by FCT – Fundação para a Ciência e Tecnologia within the Projects Scopem UIDB/05757/2020.Biblioteca Digital do IPBRosa, RicardoBrito, ThadeuPereira, Ana I.Lima, JoséWehrmeister, Marco A.2022-01-14T10:31:21Z20212021-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/24649engRosa, Ricardo; Brito, Thadeu; Pereira, Ana I.; Lima, José; Wehrmeister, Marco A. (2021). Using multi-UAV for rescue environment mapping: task planning optimization approach. In CONTROLO 2020: Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing. p. 507-517. ISBN 978-3-030-58652-2978-3-030-58652-210.1007/978-3-030-58653-9_49info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:15:30Zoai:bibliotecadigital.ipb.pt:10198/24649Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:43:02.412363Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Using multi-UAV for rescue environment mapping: task planning optimization approach |
title |
Using multi-UAV for rescue environment mapping: task planning optimization approach |
spellingShingle |
Using multi-UAV for rescue environment mapping: task planning optimization approach Rosa, Ricardo Unmanned aerial vehicles Multiple UAV Collaborative environment mapping Path planning |
title_short |
Using multi-UAV for rescue environment mapping: task planning optimization approach |
title_full |
Using multi-UAV for rescue environment mapping: task planning optimization approach |
title_fullStr |
Using multi-UAV for rescue environment mapping: task planning optimization approach |
title_full_unstemmed |
Using multi-UAV for rescue environment mapping: task planning optimization approach |
title_sort |
Using multi-UAV for rescue environment mapping: task planning optimization approach |
author |
Rosa, Ricardo |
author_facet |
Rosa, Ricardo Brito, Thadeu Pereira, Ana I. Lima, José Wehrmeister, Marco A. |
author_role |
author |
author2 |
Brito, Thadeu Pereira, Ana I. Lima, José Wehrmeister, Marco A. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Rosa, Ricardo Brito, Thadeu Pereira, Ana I. Lima, José Wehrmeister, Marco A. |
dc.subject.por.fl_str_mv |
Unmanned aerial vehicles Multiple UAV Collaborative environment mapping Path planning |
topic |
Unmanned aerial vehicles Multiple UAV Collaborative environment mapping Path planning |
description |
Rescuing survivors in unknown environment can be extreme difficulty. The use of UAVs to map the environment and also to obtain remote information can benefit the rescue tasks. This paper proposes an organizational system for multi-UAVs to map indoor environments that have been affected by a natural disaster. The robot’s organization is focused on avoiding possible collisions between swarm’s members, and also to prevent searching in locations that have already discovered. This organizational approach is inspired by bees behavior. Thus, the multi- UAVs must search, in a collaborative way, in order to map the scenario in the shortest possible time and, consequently, to travel the shortest reasonable distance. Therefore, three strategies were evaluated in a simulation scenario created in the V-REP software. The results indicate the feasibility of the proposed approach and compare the three plans based on the number of locations discovered and the path taken by each UAV. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2022-01-14T10:31:21Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/24649 |
url |
http://hdl.handle.net/10198/24649 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rosa, Ricardo; Brito, Thadeu; Pereira, Ana I.; Lima, José; Wehrmeister, Marco A. (2021). Using multi-UAV for rescue environment mapping: task planning optimization approach. In CONTROLO 2020: Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing. p. 507-517. ISBN 978-3-030-58652-2 978-3-030-58652-2 10.1007/978-3-030-58653-9_49 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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