Multiple robot systems’ communication using MAD-Smart methodology
Comunicación en sistemas de múltiples robots desde la metodología MAD-Smart
DOI:
https://doi.org/10.15446/ing.investig.v28n2.14893Keywords:
communication among agents, conversation modelling, MAD-Smart methodology, multi-agent robotic systems (en)comunicación entre agentes, modelamiento de conversaciones, metodología MAD-Smart, sistemas multiagente robóticos (Smart) (es)
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This paper was aimed at exhibiting the real need for having good communication within multiple robots systems using MAD-Smart methodology. Such methodology consists of conceptualising, analysing and designing multiple robot teams by defining a set of activities. MAD-Smart assists developers in further understanding not only the problem to be solved but the final characteristics which a particular system must accomplish and the role played by each agent in resolving problems. This methodology has already been validated by implementing the SMART (robotic multi agent system) project, educational robotics: intelligent machines in education and sensory and perception models in robotic agents for material identification. MAD-Smart has been shown to be more relevant in handling agent roles than the agents themselves for a given communication model. This issue reflects this methodology’s degree of abstraction since a role defining as an abstract representation of high level behavioural allows generalising the best possible scenarios which can be found in a given multi-robot system.
Este artículo demuestra la importancia de la comunicación en sistemas de múltiples robots enmarcado desde la metodología MAD-Smart. La metodología está compuesta por las fases de conceptuación, análisis y diseño de equipos de múltiples robots mediante la definición de un conjunto de actividades. El propósito de MAD-Smart es ayudar al desarrollador a entender mejor el problema a resolver, las características finales que deberá tener el sistema y el papel que cada agente juega en la solución del problema. La metodología se ha validado mediante la implementación de los proyectos Smart (Sistema multiagente robótico), robótica educativa: máquinas inteligentes en educación y modelo de sensórica y percepción en agentes robóticos para la identificación de materiales. MAD-Smart ha demostrado que es más relevante el manejo de roles, que los agentes mismos para el modelo de comunicación. Lo anterior obedece al grado de abstracción buscado en la metodología, ya que un rol como una representación abstracta de un comportamiento de alto nivel permite generalizar de mejor manera los escenarios posibles que se pueden encontrar en un sistema determinado.
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