MAKING PRESENTATIONS USING FUZZY LOGIC IN A TOUR-GUIDE ROBOT

In the last years, numerous attempts for develop autonomous robots with intelligent and cognitive skills are been made. This paper proposes an automatic presentation generator for a robot guide who let it make better presentations, with predefined durations, and, also, it is shown how the use of fuzzy logic makes possible the evolution of the criteria for the paragraphs, from an initial knowledge to a real one that agrees with the opinions of public. A presentation is composed by a number of paragraphs, which have associated a set of criteria in the ontology, used by the generator in order to select or reject the paragraphs included in the presentation. The modelling of the quality index of the presentation is made using fuzzy logic and it represents the beliefs of the robot about what is good, bad, or indifferent about a presentation. The beliefs of the robot continue to evolving in order to coincide with the opinions of the public. Updating of the criteria, the learning, is made using genetic algorithms.