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Human-friendly Man-Machine Interaction in Smart Home
Z. Zenn Bien,Jin-Woo Jung,Kwang-Hyun Park,Farrah Wong 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2005 International Journal of Assistive Robotics and Me Vol.6 No.3
Independence of people in need in their living environment becomes an imperative notion for any society in the years to come. As an approach to achieve “independence,” this paper addresses the problem of building an assistive home environment emphasizing a human-friendly man-machine interaction. From the functional point of view, a house is considered as a large-scale main (parent) robot which is capable of interacting with residents to provide comfortable living conditions such as appropriate humidity, temperature, lighting, safety and security. Also, under the management of the parent robot, the home system includes several subsystem (children) robots playing their inherent roles to provide the residents with independence and happiness. The way of interaction between the resident and the systems is thus a significant aspect in the design of a smart home for the elderly and people with disability. As an engineering approach, we propose to design based on the idea that the robotic systems should be as human-friendly as possible, and the acquired information in interaction, which includes physical, emotional, mental status and intention of the user, should be incorporated into the system to enhance human-friendliness. After briefly reviewing various aspects of the notion of the human-robot interaction, this paper introduces our experiences of realizing techniques used for human-friendly interaction.
변증남(Z. Zenn Bien),서일홍(Il Hong Suh) 제어로봇시스템학회 2014 제어·로봇·시스템학회 논문지 Vol.20 No.3
Referring to various definitions, we first examine the identity issue of intelligent control and, have tried to explain the nature and attributes of intelligent control in terms of two categories of positions, that is, the Noumenalist`s position and the Phenomenologist"s position. And then, we give detailed descriptions for (1) FUZZY-based intelligent control and (2) learning control. Finally, as a noticeable new technique of intelligent control for robotic applications, we present (3) Cognitive control.