Decision making algorithm for an autonomous guide-robot using fuzzy logic

This paper presents a novel method to generate optimal presentations for a Guide-Robot that explains the exhibition to different types of audience. The generation of automatic presentations are selected dynamically regarding different criteria and an intelligent algorithm is implemented based on fuz...

Full description

Saved in:
Bibliographic Details
Published in:Journal of ambient intelligence and humanized computing 2018-08, Vol.9 (4), p.1177-1189
Main Authors: Rainer, J. Javier, Cobos-Guzman, Salvador, Galán, Ramón
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Audiences
Cognition & reasoning
Communications systems
Computational Intelligence
Criteria
Decision making
Engineering
Fuzzy logic
Knowledge
Machine learning
Museums
Ontology
Original Research
Robotics and Automation
Robots
Software
User Interfaces and Human Computer Interaction
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a novel method to generate optimal presentations for a Guide-Robot that explains the exhibition to different types of audience. The generation of automatic presentations are selected dynamically regarding different criteria and an intelligent algorithm is implemented based on fuzzy logic to decide which presentation is the optimal. Thus, the decision-making mechanism prioritizes values of the presentation by means of a quality index that the fuzzy logic algorithm generates. The learning phase is produced using feedback information from the public that can modify the previous quality criteria to evaluate if the task is good or bad. Thus, the robot can learn by means of the interaction of the public and with the combination of fuzzy logic for selecting the optimal time and presentation that require a specific guided visit. To ensure that the learning phase is working properly, the robot has been tested in museums where there are interactions between the public and the robot.
ISSN:1868-5137
1868-5145
DOI:10.1007/s12652-017-0651-9