Evaluation of Similarity Metrics Under the Context of an Autonomous Reactive System

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:31:35Z
Fecha de publicación2019-07-03
ResumenCurrently, in the field of robotics, institutions and researchers are working on the design and development of autonomous navigation systems on robots for dynamic environments. The most advanced implementations of autonomous behaviors are found on vehicles or wheeled devices, allowing them to move on controlled environments and even on rough terrain. In this paper, it is presented the design of an autonomous reactive system for humanoid robots. This system requires to know the current state of the robot, during a specific activity, to make the right reactive action for a specific situation. In the context of inquiring the current state of the robot, we consider the implementation of a knowledge base populated with diverse states of the joints and their possible reactive actions. To recover the possible reactive actions from the knowledge base, it is required to search for the current state of the robot in the knowledge base. However, this process may incur in high computational cost depending on the size of the knowledge base. Therefore, in this work, we carried out a comparative study of six similarity metrics, with the objective of identifying the metric that offers the best computational time. In these studies, it is identified that the metrics with lower mathematical complexity showed the best results. Additionally, we used Wilcoxon and Friedman statistics tests to assess the performance of the similarity metrics. Finally, we included an analysis of the characteristics and functionality of several similarity metrics, which showed that some of them are not suitable in the context of our proposal. On the other hand, other metrics were identified as viable and with potential for future works.es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/3266
Idiomaenes_ES
RelaciónInternational Journal of Computer (IJC)es_ES
URL relacionadohttps://www.ijcjournal.org/index.php/InternationalJournalOfComputer/article/download/1419/544es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteInternational Journal of Computer (IJC)
Palabra claveContext (archaeology)es_ES
Palabra claveComputer sciencees_ES
Palabra claveArtificial intelligencees_ES
Palabra claveKnowledge basees_ES
Palabra claveMetric (unit)es_ES
Palabra claveRoboticses_ES
Palabra claveRobotes_ES
Palabra claveSimilarity (geometry)es_ES
Palabra claveState (computer science)es_ES
Palabra claveProcess (computing)es_ES
Palabra claveField (mathematics)es_ES
Palabra claveMachine learninges_ES
ClasificaciónFuzzy Logic and Control Systemses_ES
TítuloEvaluation of Similarity Metrics Under the Context of an Autonomous Reactive Systemes_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorVillalobos, Guillermo Toledano
AutorMartínez, Salvador Ibarra
AutorRocha, José Castan
AutorVillanueva, David Teran
AutorVillalobos, Guillermo Toledanoes_ES
AutorMartínez, Salvador Ibarraes_ES
AutorRocha, José Castanes_ES
AutorVillanueva, David Teranes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número1es_ES
Rango de páginas59-71es_ES
URL relacionadahttps://www.ijcjournal.org/index.php/InternationalJournalOfComputer/article/download/1419/544
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen34es_ES

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