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Integrated Robotic and Network Simulation Method
The increasing use of mobile cooperative robots in a variety of applications also implies an increasing research effort on cooperative strategies solutions, typically involving communications and control. For such research, simulation is a powerful tool to quickly test algorithms, allowing to do mor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832280/ https://www.ncbi.nlm.nih.gov/pubmed/31640285 http://dx.doi.org/10.3390/s19204585 |
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author | Ramos, Daniel Almeida, Luis Moreno, Ubirajara |
author_facet | Ramos, Daniel Almeida, Luis Moreno, Ubirajara |
author_sort | Ramos, Daniel |
collection | PubMed |
description | The increasing use of mobile cooperative robots in a variety of applications also implies an increasing research effort on cooperative strategies solutions, typically involving communications and control. For such research, simulation is a powerful tool to quickly test algorithms, allowing to do more exhaustive tests before implementation in a real application. However, the transition from an initial simulation environment to a real application may imply substantial rework if early implementation results do not match the ones obtained by simulation, meaning the simulation was not accurate enough. One way to improve accuracy is to incorporate network and control strategies in the same simulation and to use a systematic procedure to assess how different techniques perform. In this paper, we propose a set of procedures called Integrated Robotic and Network Simulation Method (IRoNS Method), which guide developers in building a simulation study for cooperative robots and communication networks applications. We exemplify the use of the improved methodology in a case-study of cooperative control comparison with and without message losses. This case is simulated with the OMNET++/INET framework, using a group of robots in a rendezvous task with topology control. The methodology led to more realistic simulations while improving the results presentation and analysis. |
format | Online Article Text |
id | pubmed-6832280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68322802019-11-21 Integrated Robotic and Network Simulation Method Ramos, Daniel Almeida, Luis Moreno, Ubirajara Sensors (Basel) Article The increasing use of mobile cooperative robots in a variety of applications also implies an increasing research effort on cooperative strategies solutions, typically involving communications and control. For such research, simulation is a powerful tool to quickly test algorithms, allowing to do more exhaustive tests before implementation in a real application. However, the transition from an initial simulation environment to a real application may imply substantial rework if early implementation results do not match the ones obtained by simulation, meaning the simulation was not accurate enough. One way to improve accuracy is to incorporate network and control strategies in the same simulation and to use a systematic procedure to assess how different techniques perform. In this paper, we propose a set of procedures called Integrated Robotic and Network Simulation Method (IRoNS Method), which guide developers in building a simulation study for cooperative robots and communication networks applications. We exemplify the use of the improved methodology in a case-study of cooperative control comparison with and without message losses. This case is simulated with the OMNET++/INET framework, using a group of robots in a rendezvous task with topology control. The methodology led to more realistic simulations while improving the results presentation and analysis. MDPI 2019-10-21 /pmc/articles/PMC6832280/ /pubmed/31640285 http://dx.doi.org/10.3390/s19204585 Text en © 2019 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 Ramos, Daniel Almeida, Luis Moreno, Ubirajara Integrated Robotic and Network Simulation Method |
title | Integrated Robotic and Network Simulation Method |
title_full | Integrated Robotic and Network Simulation Method |
title_fullStr | Integrated Robotic and Network Simulation Method |
title_full_unstemmed | Integrated Robotic and Network Simulation Method |
title_short | Integrated Robotic and Network Simulation Method |
title_sort | integrated robotic and network simulation method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832280/ https://www.ncbi.nlm.nih.gov/pubmed/31640285 http://dx.doi.org/10.3390/s19204585 |
work_keys_str_mv | AT ramosdaniel integratedroboticandnetworksimulationmethod AT almeidaluis integratedroboticandnetworksimulationmethod AT morenoubirajara integratedroboticandnetworksimulationmethod |