Searching Dynamic Agents with a Team of Mobile Robots
This paper presents a new algorithm that allows a team of robots to cooperatively search for a set of moving targets. An estimation of the areas of the environment that are more likely to hold a target agent is obtained using a grid-based Bayesian filter. The robot sensor readings and the maximum sp...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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MDPI AG
2012-06-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/12/7/8815 |
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author | Miguel Juliá Arturo Gil Oscar Reinoso |
author_facet | Miguel Juliá Arturo Gil Oscar Reinoso |
author_sort | Miguel Juliá |
collection | DOAJ |
description | This paper presents a new algorithm that allows a team of robots to cooperatively search for a set of moving targets. An estimation of the areas of the environment that are more likely to hold a target agent is obtained using a grid-based Bayesian filter. The robot sensor readings and the maximum speed of the moving targets are used in order to update the grid. This representation is used in a search algorithm that commands the robots to those areas that are more likely to present target agents. This algorithm splits the environment in a tree of connected regions using dynamic programming. This tree is used in order to decide the destination for each robot in a coordinated manner. The algorithm has been successfully tested in known and unknown environments showing the validity of the approach. |
first_indexed | 2024-04-14T04:29:31Z |
format | Article |
id | doaj.art-6dc947413c6343168aaec1907334a607 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T04:29:31Z |
publishDate | 2012-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-6dc947413c6343168aaec1907334a6072022-12-22T02:12:07ZengMDPI AGSensors1424-82202012-06-011278815883110.3390/s120708815Searching Dynamic Agents with a Team of Mobile RobotsMiguel JuliáArturo GilOscar ReinosoThis paper presents a new algorithm that allows a team of robots to cooperatively search for a set of moving targets. An estimation of the areas of the environment that are more likely to hold a target agent is obtained using a grid-based Bayesian filter. The robot sensor readings and the maximum speed of the moving targets are used in order to update the grid. This representation is used in a search algorithm that commands the robots to those areas that are more likely to present target agents. This algorithm splits the environment in a tree of connected regions using dynamic programming. This tree is used in order to decide the destination for each robot in a coordinated manner. The algorithm has been successfully tested in known and unknown environments showing the validity of the approach.http://www.mdpi.com/1424-8220/12/7/8815dynamic agent searchgrid-based Bayesian filteringsearch algorithmmulti-robot systems |
spellingShingle | Miguel Juliá Arturo Gil Oscar Reinoso Searching Dynamic Agents with a Team of Mobile Robots Sensors dynamic agent search grid-based Bayesian filtering search algorithm multi-robot systems |
title | Searching Dynamic Agents with a Team of Mobile Robots |
title_full | Searching Dynamic Agents with a Team of Mobile Robots |
title_fullStr | Searching Dynamic Agents with a Team of Mobile Robots |
title_full_unstemmed | Searching Dynamic Agents with a Team of Mobile Robots |
title_short | Searching Dynamic Agents with a Team of Mobile Robots |
title_sort | searching dynamic agents with a team of mobile robots |
topic | dynamic agent search grid-based Bayesian filtering search algorithm multi-robot systems |
url | http://www.mdpi.com/1424-8220/12/7/8815 |
work_keys_str_mv | AT migueljulia searchingdynamicagentswithateamofmobilerobots AT arturogil searchingdynamicagentswithateamofmobilerobots AT oscarreinoso searchingdynamicagentswithateamofmobilerobots |