Title
Application Of Self-Organizing Map For Analyzing Robotic Arm'S Action With Consciousness-Based Architecture Module
Abstract
Our research has been focused on developing human-robot interactions, the robots need to perform a high level of intellectual activity and user compatibility. Therefore, we considered the primary structure of a conscious human/animal action, which can be represented by the sequence process, Perception. Motivation. Action. We have improved a hierarchical structure model, which defines the relationship between the consciousness field and the behavior module. This model is called Consciousness-Based Architecture (CBA). Furthermore, the robot should select the action itself, we have investigated the application of brain-inspired technology so we introduced a Self-Organizing Map (SOM) neural network that is trained using unsupervised learning to classify its behavior according to the motivation value in the CBA module. In this paper, we attempt to describe the integration of a Self-Organizing Map (SOM) method into a CBA module in order to classify and select autonomous behavior. We confirmed the effectiveness of the proposed system by the experimental results.
Year
DOI
Venue
2014
10.2991/jrnal.2014.1.2.8
JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE
Keywords
Field
DocType
Consciousness-Based Architecture (CBA), Human-robot interactions, Self-Organizing Map (SOM)
Robotic arm,Architecture,Computer science,Self-organizing map,Consciousness,Unsupervised learning,Artificial intelligence,Robot,Artificial neural network,Perception
Journal
Volume
Issue
ISSN
1
2
2352-6386
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Wisanu Jitviriya113.42
Eiji Hayashi245.36