Improving the activities of a robotic guide by taking into account human reactions
Autor:
Rainer, J Javier
; López Hernández, Fernando
; Galán, Ramón
Fecha:
2018Palabra clave:
Revista / editorial:
Data Science and knowledge Engineerign for Sensing Decision SupportTipo de Ítem:
conferenceObjectResumen:
Traditionally robots are autonomous systems that plan and execute actions without taking into account any external feedback. This paper studies to what extent a robot is able to alter its behavior based on observing a series of positive or negative human reactions. We describe the result of introducing these human reactions in a plan of actions by means of fuzzy logic analysis of the reactions. In this way, the election of the actions to perform is based on a combination of the initial plan of actions and of a fuzzy logic weighting of the utility of previously executed actions.
Descripción:
Ponencia del congreso "13th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS)"
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