Probabilistic analysis applied to robots
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFPE |
Texto Completo: | https://repositorio.ufpe.br/handle/123456789/20827 |
Resumo: | Robots are increasingly being used in industry and starting their way to our homes as well. Nonetheless, the most frequently used techniques to analyze robots motion are based on simulations or statistical experiments made from filming robots’ movements. In this work we propose an alternative way of performing such analysis by using Probabilistic Model Checking with the language and tool PRISM. With PRISM we can perform simulations as well as check exhaustively whether a robot motion planning satisfies specific Probabilistic Temporal formulas. Therefore we can measure energy consumption, time to complete missions, etc., and all of these in terms of specific motion planning algorithms. As consequence we can also determine if an algorithm is superior to another in certain metrics. Furthermore, to ease the use of our work, we hide the PRISM syntax by proposing a more user-friendly DSL. As a consequence, we created a translator from the DSL to PRISM by implementing the translation rules and also, a preliminary investigation about its relative completeness by using the grammatical elements generation tool LGen. We illustrate those ideas with motion planning algorithms for home cleaning robots. |
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ARAÚJO, Rafael Pereira dehttp://lattes.cnpq.br/8088788934166019http://lattes.cnpq.br/2794026545404598MOTA, Alexandre CabralNOGUEIRA, Sidney de Carvalho2017-08-23T12:48:01Z2017-08-23T12:48:01Z2016-09-15https://repositorio.ufpe.br/handle/123456789/20827Robots are increasingly being used in industry and starting their way to our homes as well. Nonetheless, the most frequently used techniques to analyze robots motion are based on simulations or statistical experiments made from filming robots’ movements. In this work we propose an alternative way of performing such analysis by using Probabilistic Model Checking with the language and tool PRISM. With PRISM we can perform simulations as well as check exhaustively whether a robot motion planning satisfies specific Probabilistic Temporal formulas. Therefore we can measure energy consumption, time to complete missions, etc., and all of these in terms of specific motion planning algorithms. As consequence we can also determine if an algorithm is superior to another in certain metrics. Furthermore, to ease the use of our work, we hide the PRISM syntax by proposing a more user-friendly DSL. As a consequence, we created a translator from the DSL to PRISM by implementing the translation rules and also, a preliminary investigation about its relative completeness by using the grammatical elements generation tool LGen. We illustrate those ideas with motion planning algorithms for home cleaning robots.Robôs estão sendo cada vez mais utilizados na indústria e entrando em nossas casas também. No entanto, as técnicas mais frequentemente utilizadas para analisar a movimentação dos robôs são baseadas em simulações ou experimentos estatísticos realizados a partir da filmagem do movimento dos robôs. Neste trabalho, nós propomos uma maneira alternativa de realizar tais análises com a utilização da técnica de Verificação de Modelos Probabilísticos com a linguagem e ferramenta PRISM. Com PRISM, podemos, tanto realizar simulações quanto verificar exaustivamente se um planejamento de movimentação do robô satisfaz fórmulas Probabilísticas Temporais específicas. Portanto, podemos medir o consumo de energia, tempo necessário para completar missões, etc. e tudo isso em termos de algoritmos específicos de planejamento de movimentação. Como consequência, podemos, também, determinar se um algoritmo é superior a outro em relação a certas métricas. Além disso, para facilitar o uso do nosso trabalho, escondemos a sintaxe do PRISM propondo uma DSL amigável ao usuário. Em consequência, criamos um tradutor da DSL em PRISM através da implementação de regras de tradução bem como fizemos uma investigação preliminar sobre sua completude relativa usando a ferramenta de geração de elementos gramaticais LGen. Ilustramos as idéias com algoritmos de planejamento de movimentação para robôs de limpeza de casas.engUniversidade Federal de PernambucoPrograma de Pos Graduacao em Ciencia da ComputacaoUFPEBrasilAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessVerificação de Modelos ProbabilísticosLinguagem Específica de DomínioAlgoritmos de Movimentação de RobôsPRISMFórmulas Probabilísticas TemporaisEngenharia Directionada a ModelosProbabilistic analysis applied to robotsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesismestradoreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPETHUMBNAILdissertacao_mestrado_rafael_araujo.pdf.jpgdissertacao_mestrado_rafael_araujo.pdf.jpgGenerated Thumbnailimage/jpeg1287https://repositorio.ufpe.br/bitstream/123456789/20827/5/dissertacao_mestrado_rafael_araujo.pdf.jpg00884591f9b30705c752e401ce8ab2f2MD55ORIGINALdissertacao_mestrado_rafael_araujo.pdfdissertacao_mestrado_rafael_araujo.pdfapplication/pdf1319314https://repositorio.ufpe.br/bitstream/123456789/20827/1/dissertacao_mestrado_rafael_araujo.pdf15854b595d618c609a911b95573a01adMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.pt_BR.fl_str_mv |
Probabilistic analysis applied to robots |
title |
Probabilistic analysis applied to robots |
spellingShingle |
Probabilistic analysis applied to robots ARAÚJO, Rafael Pereira de Verificação de Modelos Probabilísticos Linguagem Específica de Domínio Algoritmos de Movimentação de Robôs PRISM Fórmulas Probabilísticas Temporais Engenharia Directionada a Modelos |
title_short |
Probabilistic analysis applied to robots |
title_full |
Probabilistic analysis applied to robots |
title_fullStr |
Probabilistic analysis applied to robots |
title_full_unstemmed |
Probabilistic analysis applied to robots |
title_sort |
Probabilistic analysis applied to robots |
author |
ARAÚJO, Rafael Pereira de |
author_facet |
ARAÚJO, Rafael Pereira de |
author_role |
author |
dc.contributor.authorLattes.pt_BR.fl_str_mv |
http://lattes.cnpq.br/8088788934166019 |
dc.contributor.advisorLattes.pt_BR.fl_str_mv |
http://lattes.cnpq.br/2794026545404598 |
dc.contributor.author.fl_str_mv |
ARAÚJO, Rafael Pereira de |
dc.contributor.advisor1.fl_str_mv |
MOTA, Alexandre Cabral |
dc.contributor.advisor-co1.fl_str_mv |
NOGUEIRA, Sidney de Carvalho |
contributor_str_mv |
MOTA, Alexandre Cabral NOGUEIRA, Sidney de Carvalho |
dc.subject.por.fl_str_mv |
Verificação de Modelos Probabilísticos Linguagem Específica de Domínio Algoritmos de Movimentação de Robôs PRISM Fórmulas Probabilísticas Temporais Engenharia Directionada a Modelos |
topic |
Verificação de Modelos Probabilísticos Linguagem Específica de Domínio Algoritmos de Movimentação de Robôs PRISM Fórmulas Probabilísticas Temporais Engenharia Directionada a Modelos |
description |
Robots are increasingly being used in industry and starting their way to our homes as well. Nonetheless, the most frequently used techniques to analyze robots motion are based on simulations or statistical experiments made from filming robots’ movements. In this work we propose an alternative way of performing such analysis by using Probabilistic Model Checking with the language and tool PRISM. With PRISM we can perform simulations as well as check exhaustively whether a robot motion planning satisfies specific Probabilistic Temporal formulas. Therefore we can measure energy consumption, time to complete missions, etc., and all of these in terms of specific motion planning algorithms. As consequence we can also determine if an algorithm is superior to another in certain metrics. Furthermore, to ease the use of our work, we hide the PRISM syntax by proposing a more user-friendly DSL. As a consequence, we created a translator from the DSL to PRISM by implementing the translation rules and also, a preliminary investigation about its relative completeness by using the grammatical elements generation tool LGen. We illustrate those ideas with motion planning algorithms for home cleaning robots. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-09-15 |
dc.date.accessioned.fl_str_mv |
2017-08-23T12:48:01Z |
dc.date.available.fl_str_mv |
2017-08-23T12:48:01Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufpe.br/handle/123456789/20827 |
url |
https://repositorio.ufpe.br/handle/123456789/20827 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
dc.publisher.program.fl_str_mv |
Programa de Pos Graduacao em Ciencia da Computacao |
dc.publisher.initials.fl_str_mv |
UFPE |
dc.publisher.country.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFPE instname:Universidade Federal de Pernambuco (UFPE) instacron:UFPE |
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UFPE |
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UFPE |
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Repositório Institucional da UFPE |
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