Name
Title | ||
|---|---|---|
Emotional Model for Robotic System Using a Self-Organizing Map Combined with Markovian Model |
Abstract | ||
|---|---|---|
In our research, we have focused on investigating the application of brain-inspired technology by developing a robot with consciousness resembling that of a human being. The goal was to enhance intelligent behavior/emotion, and to facilitate communication between human beings and robots. We sought to increase the robot's behavioral/emotional intelligence capabilities so that it could distinguish, adapt and react to changes in the environment. In this paper, we present a behavioral/emotional expression system designed to work automatically by two processes. The first is a classification of behavior and emotions by determining the winner node based on Self-Organizing Map (SOM) learning. For the second, we propose a stochastic emotion model based on Markov theory in which the probabilities of emotional state transition are updated with affective factors. Finally, we verified this model with a conscious behavior robot (Conbe-I), and confirmed the effectiveness of the proposed system with the experimental results in a realistic environment. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.20965/jrm.2015.p0563 | JOURNAL OF ROBOTICS AND MECHATRONICS |
Keywords | Field | DocType |
motivation module,self-organizing map (SOM),Markovian emotion model | Robotic systems,Markov process,Computer science,Self-organizing map,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
27 | 5 | 0915-3942 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wisanu Jitviriya | 1 | 1 | 3.42 |
| Masato Koike | 2 | 10 | 2.48 |
| Eiji Hayashi | 3 | 4 | 5.36 |