By Topic

A new memory model for humanoid robots - introduction of associative memory using chaotic neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
K. Itoh ; Graduate Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan ; H. Miwa ; Y. Nukariya ; H. Takanobu
more authors

We have been developing emotion expression humanoid robots in order to develop new mechanisms and functions for a humanoid robot that has the ability to communicate naturally with a human by expressing human-like emotions. In 2003, we introduced the "need model" to the robot mental model so that a robot could generate and express actively its behavior based on its mental state. We implemented the mental model with need in the emotion expression humanoid robot WE-4R (Waseda eye no.4 refined). We also studied the dynamics of a simple harmonic oscillator driven by the chaotic force. The bifurcation parameter of chaotic force is modulated by the position of the harmonic oscillator. We have been studying a system of many harmonic oscillators (neurons) interacting via a chaotic force by using these ideas since 2002. We propose a memory model using a chaotic neural network for human friendly communication. We implemented this model in emotional expression humanoid robot WE-4R.

Published in:

Robot and Human Interactive Communication, 2004. ROMAN 2004. 13th IEEE International Workshop on

Date of Conference:

20-22 Sept. 2004