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A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode

This paper presents a novel sensing mode for using mobile robots to collect disaster ground information when the ground traffic from the rescue center to disaster site is disrupted. Traditional sensing modes which use aerial robots or ground robots independently either have limited ability to access...

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Detalles Bibliográficos
Autores principales: Liu, Yi, Gao, Junyao, Zhao, Jingchao, Shi, Xuanyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210509/
https://www.ncbi.nlm.nih.gov/pubmed/30360444
http://dx.doi.org/10.3390/s18103589
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author Liu, Yi
Gao, Junyao
Zhao, Jingchao
Shi, Xuanyang
author_facet Liu, Yi
Gao, Junyao
Zhao, Jingchao
Shi, Xuanyang
author_sort Liu, Yi
collection PubMed
description This paper presents a novel sensing mode for using mobile robots to collect disaster ground information when the ground traffic from the rescue center to disaster site is disrupted. Traditional sensing modes which use aerial robots or ground robots independently either have limited ability to access disaster site or are only able to provide a bird’s eye view of the disaster site. To illustrate the proposed sensing mode, the authors have developed a Multi-robot System with Air Dispersal Mode (MSADM) by combining the unimpeded path of aerial robots with the detailed view of ground robots. In the MSADM, an airplane carries some minimal reconnaissance ground robots to overcome the paralyzed traffic problem and deploys them on the ground to collect detailed scene information using parachutes and separation device modules. In addition, the airplane cruises in the sky and relays the control and reported information between the ground robots and the human operator. This means that the proposed sensing mode is able to provide more reliable communication performance when there are obstacles between the human operators and the ground robots. Additionally, the proposed sensing mode can easily make use of different kinds of ground robots, as long as they have a compatible interface with the separation device. Finally, an experimental demonstration of the MSADM is presented to show the effectiveness of the proposed sensing mode.
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spelling pubmed-62105092018-11-02 A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode Liu, Yi Gao, Junyao Zhao, Jingchao Shi, Xuanyang Sensors (Basel) Article This paper presents a novel sensing mode for using mobile robots to collect disaster ground information when the ground traffic from the rescue center to disaster site is disrupted. Traditional sensing modes which use aerial robots or ground robots independently either have limited ability to access disaster site or are only able to provide a bird’s eye view of the disaster site. To illustrate the proposed sensing mode, the authors have developed a Multi-robot System with Air Dispersal Mode (MSADM) by combining the unimpeded path of aerial robots with the detailed view of ground robots. In the MSADM, an airplane carries some minimal reconnaissance ground robots to overcome the paralyzed traffic problem and deploys them on the ground to collect detailed scene information using parachutes and separation device modules. In addition, the airplane cruises in the sky and relays the control and reported information between the ground robots and the human operator. This means that the proposed sensing mode is able to provide more reliable communication performance when there are obstacles between the human operators and the ground robots. Additionally, the proposed sensing mode can easily make use of different kinds of ground robots, as long as they have a compatible interface with the separation device. Finally, an experimental demonstration of the MSADM is presented to show the effectiveness of the proposed sensing mode. MDPI 2018-10-22 /pmc/articles/PMC6210509/ /pubmed/30360444 http://dx.doi.org/10.3390/s18103589 Text en © 2018 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
Liu, Yi
Gao, Junyao
Zhao, Jingchao
Shi, Xuanyang
A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode
title A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode
title_full A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode
title_fullStr A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode
title_full_unstemmed A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode
title_short A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode
title_sort new disaster information sensing mode: using multi-robot system with air dispersal mode
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210509/
https://www.ncbi.nlm.nih.gov/pubmed/30360444
http://dx.doi.org/10.3390/s18103589
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