Análisis de Comportamientos de Vehículos de Braitenberg para la búsqueda robótica usando El Robot LEGO EV3
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Abstract
En el presente artículo se realiza el estudio del funcionamiento de dos diseños del conjunto de vehículos propuestos por Valentino Braitenberg en 1984, mediante la plataforma robótica LEGO EV3. Los vehículos estudiados son el comportamiento explorador y el temeroso, cada uno con características y configuraciones diferentes pero con un objetivo común, lograr evitar los obstáculos que se les presentan mientras se explora todo el ambiente. Para completar este proceso se puso una meta, es decir cuando el robot detecte una marca de un color la exploración finaliza. Se analiza el tiempo total por cada exploración realizada, esto con el fin de determinar cuál de las configuraciones es el más óptimo al momento de buscar un objeto en un ambiente determinado.
In this article the study of the operation of two proposed designs set in 1984 by Valentino Braitenberg vehicles is done by LEGO robotics platform EV3. Vehicles studied are the browser behavior and fearful, each with different characteristics and configurations but with a common goal, achieving avoid obstacles that are presented as whole environment is explored. To complete this process set a goal, ie when the robot detects a mark of a color scan ends. The total time for each scan performed is discussed, that in order to determine which is the most optimal configurations when searching an object in a given environment.
In this article the study of the operation of two proposed designs set in 1984 by Valentino Braitenberg vehicles is done by LEGO robotics platform EV3. Vehicles studied are the browser behavior and fearful, each with different characteristics and configurations but with a common goal, achieving avoid obstacles that are presented as whole environment is explored. To complete this process set a goal, ie when the robot detects a mark of a color scan ends. The total time for each scan performed is discussed, that in order to determine which is the most optimal configurations when searching an object in a given environment.
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Vol. 12, No. 12