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A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents

Many environmental incidents affect large areas, often in rough terrain constrained by natural obstacles, which makes intervention difficult. New technologies, such as unmanned aerial vehicles, may help address this issue due to their suitability to reach and easily cover large areas. Thus, unmanned...

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Autores principales: Conesa-Muñoz, Jesús, Valente, João, del Cerro, Jaime, Barrientos, Antonio, Ribeiro, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017434/
https://www.ncbi.nlm.nih.gov/pubmed/27517934
http://dx.doi.org/10.3390/s16081269
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author Conesa-Muñoz, Jesús
Valente, João
del Cerro, Jaime
Barrientos, Antonio
Ribeiro, Angela
author_facet Conesa-Muñoz, Jesús
Valente, João
del Cerro, Jaime
Barrientos, Antonio
Ribeiro, Angela
author_sort Conesa-Muñoz, Jesús
collection PubMed
description Many environmental incidents affect large areas, often in rough terrain constrained by natural obstacles, which makes intervention difficult. New technologies, such as unmanned aerial vehicles, may help address this issue due to their suitability to reach and easily cover large areas. Thus, unmanned aerial vehicles may be used to inspect the terrain and make a first assessment of the affected areas; however, nowadays they do not have the capability to act. On the other hand, ground vehicles rely on enough power to perform the intervention but exhibit more mobility constraints. This paper proposes a multi-robot sense-act system, composed of aerial and ground vehicles. This combination allows performing autonomous tasks in large outdoor areas by integrating both types of platforms in a fully automated manner. Aerial units are used to easily obtain relevant data from the environment and ground units use this information to carry out interventions more efficiently. This paper describes the platforms and sensors required by this multi-robot sense-act system as well as proposes a software system to automatically handle the workflow for any generic environmental task. The proposed system has proved to be suitable to reduce the amount of herbicide applied in agricultural treatments. Although herbicides are very polluting, they are massively deployed on complete agricultural fields to remove weeds. Nevertheless, the amount of herbicide required for treatment is radically reduced when it is accurately applied on patches by the proposed multi-robot system. Thus, the aerial units were employed to scout the crop and build an accurate weed distribution map which was subsequently used to plan the task of the ground units. The whole workflow was executed in a fully autonomous way, without human intervention except when required by Spanish law due to safety reasons.
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spelling pubmed-50174342016-09-22 A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents Conesa-Muñoz, Jesús Valente, João del Cerro, Jaime Barrientos, Antonio Ribeiro, Angela Sensors (Basel) Article Many environmental incidents affect large areas, often in rough terrain constrained by natural obstacles, which makes intervention difficult. New technologies, such as unmanned aerial vehicles, may help address this issue due to their suitability to reach and easily cover large areas. Thus, unmanned aerial vehicles may be used to inspect the terrain and make a first assessment of the affected areas; however, nowadays they do not have the capability to act. On the other hand, ground vehicles rely on enough power to perform the intervention but exhibit more mobility constraints. This paper proposes a multi-robot sense-act system, composed of aerial and ground vehicles. This combination allows performing autonomous tasks in large outdoor areas by integrating both types of platforms in a fully automated manner. Aerial units are used to easily obtain relevant data from the environment and ground units use this information to carry out interventions more efficiently. This paper describes the platforms and sensors required by this multi-robot sense-act system as well as proposes a software system to automatically handle the workflow for any generic environmental task. The proposed system has proved to be suitable to reduce the amount of herbicide applied in agricultural treatments. Although herbicides are very polluting, they are massively deployed on complete agricultural fields to remove weeds. Nevertheless, the amount of herbicide required for treatment is radically reduced when it is accurately applied on patches by the proposed multi-robot system. Thus, the aerial units were employed to scout the crop and build an accurate weed distribution map which was subsequently used to plan the task of the ground units. The whole workflow was executed in a fully autonomous way, without human intervention except when required by Spanish law due to safety reasons. MDPI 2016-08-10 /pmc/articles/PMC5017434/ /pubmed/27517934 http://dx.doi.org/10.3390/s16081269 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Conesa-Muñoz, Jesús
Valente, João
del Cerro, Jaime
Barrientos, Antonio
Ribeiro, Angela
A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents
title A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents
title_full A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents
title_fullStr A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents
title_full_unstemmed A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents
title_short A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents
title_sort multi-robot sense-act approach to lead to a proper acting in environmental incidents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017434/
https://www.ncbi.nlm.nih.gov/pubmed/27517934
http://dx.doi.org/10.3390/s16081269
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