New memory model for humanoid robots - Introduction Of Co-associative memory using mutually coupled chaotic neural networks

Kazuko Itoh; Hiroyasu Miwa; Yuko Nukariya; Massimiliano Zecca; Hideaki Takanobu; Paolo Dario; Atsuo Takanishi

doi:10.1109/IJCNN.2005.1556367

New memory model for humanoid robots - Introduction Of Co-associative memory using mutually coupled chaotic neural networks

Kazuko Itoh^*, Hiroyasu Miwa, Yuko Nukariya, Massimiliano Zecca, Hideaki Takanobu, Paolo Dario, Atsuo Takanishi

^*Corresponding author for this work

School of Creative Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Personal robots, which are expected to become popular in the future, are required to be active in joint work and community life with humans. Therefore, we have been developing new mechanisms and functions for a humanoid robot that has the ability to express emotions and to communicate with humans in a human-like manner. In 2004, we introduced the "Behavior Model" and "Consciousness Model" to the robot mental model so that the robot generated various kinds of behavior and an object of the robot's behavior became clear. We implemented the mental model in the Emotion Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II). Also, we have been studying a system of multiple harmonic oscillators (neurons) interacting via chaotic force since 2002. Each harmonic oscillator is driven by chaotic force whose bifurcation parameter is modulated by the position of the harmonic oscillator. In this paper, we propose an associative memory model using mutually coupled chaotic neural networks for generating an optimum behavior to a stimulus. We implemented this model in the Emotional Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II).

Original language	English
Title of host publication	Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005
Pages	2790-2795
Number of pages	6
DOIs	https://doi.org/10.1109/IJCNN.2005.1556367
Publication status	Published - 2005
Event	International Joint Conference on Neural Networks, IJCNN 2005 - Montreal, QC, Canada Duration: 2005 Jul 31 → 2005 Aug 4

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	5

Conference

Conference	International Joint Conference on Neural Networks, IJCNN 2005
Country/Territory	Canada
City	Montreal, QC
Period	05/7/31 → 05/8/4

Keywords

Associative Memory
Humanoid Robot
Neural Network

ASJC Scopus subject areas

Software
Artificial Intelligence

Access to Document

10.1109/IJCNN.2005.1556367

Cite this

Itoh, K., Miwa, H., Nukariya, Y., Zecca, M., Takanobu, H., Dario, P., & Takanishi, A. (2005). New memory model for humanoid robots - Introduction Of Co-associative memory using mutually coupled chaotic neural networks. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005 (pp. 2790-2795). [1556367] (Proceedings of the International Joint Conference on Neural Networks; Vol. 5). https://doi.org/10.1109/IJCNN.2005.1556367

New memory model for humanoid robots - Introduction Of Co-associative memory using mutually coupled chaotic neural networks. / Itoh, Kazuko; Miwa, Hiroyasu; Nukariya, Yuko et al.
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005. 2005. p. 2790-2795 1556367 (Proceedings of the International Joint Conference on Neural Networks; Vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Itoh, K, Miwa, H, Nukariya, Y, Zecca, M, Takanobu, H, Dario, P & Takanishi, A 2005, New memory model for humanoid robots - Introduction Of Co-associative memory using mutually coupled chaotic neural networks. in Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005., 1556367, Proceedings of the International Joint Conference on Neural Networks, vol. 5, pp. 2790-2795, International Joint Conference on Neural Networks, IJCNN 2005, Montreal, QC, Canada, 05/7/31. https://doi.org/10.1109/IJCNN.2005.1556367

Itoh K, Miwa H, Nukariya Y, Zecca M, Takanobu H, Dario P et al. New memory model for humanoid robots - Introduction Of Co-associative memory using mutually coupled chaotic neural networks. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005. 2005. p. 2790-2795. 1556367. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2005.1556367

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AB - Personal robots, which are expected to become popular in the future, are required to be active in joint work and community life with humans. Therefore, we have been developing new mechanisms and functions for a humanoid robot that has the ability to express emotions and to communicate with humans in a human-like manner. In 2004, we introduced the "Behavior Model" and "Consciousness Model" to the robot mental model so that the robot generated various kinds of behavior and an object of the robot's behavior became clear. We implemented the mental model in the Emotion Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II). Also, we have been studying a system of multiple harmonic oscillators (neurons) interacting via chaotic force since 2002. Each harmonic oscillator is driven by chaotic force whose bifurcation parameter is modulated by the position of the harmonic oscillator. In this paper, we propose an associative memory model using mutually coupled chaotic neural networks for generating an optimum behavior to a stimulus. We implemented this model in the Emotional Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II).

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New memory model for humanoid robots - Introduction Of Co-associative memory using mutually coupled chaotic neural networks

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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