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System Integration for Cognitive Model of a Robot Partner

Jinseok Woo, János Botzheim, Naoyuki Kubota

Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan

* Corresponding Author: Jinseok Woo, email

Intelligent Automation & Soft Computing 2018, 24(4), 829-841. https://doi.org/10.1080/10798587.2017.1364919

Abstract

This paper introduces the integrated system of a smart-device-based cognitive robot partner called iPhonoid-C. Interaction with a robot partner requires many elements, including verbal communication, nonverbal communication, and embodiment as well. A robot partner should be able to understand human sentences, as well as nonverbal information such as human gestures. In the proposed system, the robot has an emotional model connecting the input information from the human with the robot’s behavior. Since emotions are involved in human natural communication, and emotion has a significant impact on humans’ actions, it is important to develop an emotional model for the robot partner to enhance human robot interaction. In our proposed system, human sentences and gestures influence the robot’s emotional state, and then the robot will perform gestural and facial expressions and generate sentences according to its emotional state. The proposed cognitive method is validated using a real robot partner.

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Cite This Article

APA Style
Jinseok Woo, , János Botzheim, , Naoyuki Kubota, (2018). System integration for cognitive model of a robot partner. Intelligent Automation & Soft Computing, 24(4), 829-841. https://doi.org/10.1080/10798587.2017.1364919
Vancouver Style
Jinseok Woo , János Botzheim , Naoyuki Kubota . System integration for cognitive model of a robot partner. Intell Automat Soft Comput . 2018;24(4):829-841 https://doi.org/10.1080/10798587.2017.1364919
IEEE Style
Jinseok Woo, János Botzheim, and Naoyuki Kubota, “System Integration for Cognitive Model of a Robot Partner,” Intell. Automat. Soft Comput. , vol. 24, no. 4, pp. 829-841, 2018. https://doi.org/10.1080/10798587.2017.1364919



cc Copyright © 2018 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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