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

Kazuko Itoh*, Hiroyasu Miwa, Yuko Nukariya, Hideaki Takanobu, Atsuo Takanishi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

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. In this paper, 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.

Original languageEnglish
Pages125-130
Number of pages6
Publication statusPublished - 2004 Dec 1
EventRO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication - Okayama, Japan
Duration: 2004 Sept 202004 Sept 22

Conference

ConferenceRO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication
Country/TerritoryJapan
CityOkayama
Period04/9/2004/9/22

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'A new memory model for humanoid robots -introduction of associative memory using chaotic neural network'. Together they form a unique fingerprint.

Cite this