Date: 2006.3.7(Tue) 13:00-13:30
Speaker: Kazuko Itoh
Author: Kazuko Itoh, Hiroyasu Miwa, Yuko Nukariya, Massimiliano Zecca, Hideaki Takanobu, Stefano Roccella, Maria Chiara Carrozza, Paolo Dario, Atsuo Takanishi
Title: Behavior Generation of Humanoid Robots Depending on Mood
Keywords: Humanoid Robot, Neural Network, Mental Model, Memory
Type: Organized Session

Affiliation: Takanishi Laboratory, Department of Mechanical Engineering, Waseda University
Position: Research Associate
Adviser: Prof. Atsuo Takanishi
Disciplines: Robotics, Human-Robot Interaction, Neural Network, Chaotic Dynamics
Societies and Conferences: Robotics Society of Japan (RSJ), Japanese Neural Network Society (JNNS), Japanese Society for Artificial Intelligence (JSAI),
IEEE International Conference on Robotics and Automation, IEEE/RSJ International Conference on Intelligent Robots and Systems, International Joint Conference on Neural Networks

Bibliography: Kazuko Itoh, Hiroyasu Miwa, Yuko Nukariya, Massimiliano Zecca, Hideaki Takanobu, Stefano Roccella, Maria Chiara Carrozza, Paolo Dario, and Atsuo Takanishi, "Behavior Generation of Humanoid Robots Depending on Mood", Intelligent Autonomous Systems 9 T. Arai et al. (Eds.) IOS Press, pp.965--972, 2006.

Abstract:
Personal robots, which are expected to become popular in the future, are required to be active in joint work and community life with human. Therefore, the objective of this study is the development of new mechanisms and functions for a humanoid robot to express emotions and to communicate naturally with human. We developed both the mental model from psychological point of view and the Emotion Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II) from engineered point of view.
In this paper, a co-associative memory model using mutually coupled chaotic neural networks was proposed and implemented in WE-4RII as its mental model. We confirmed that the robot could generate the behavior depending on its mood in response to a stimulus.

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