[LSI 운영위원회 연사초빙] KAIST 전기및전자공학과 / 김종환 교수님

서윤영, 2012-10-05 14:14:24

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김종환 교수님.png 
Jong-Hwan Kim
KT Chair Professor, IEEE Fellow
Director, National Center for Robot Intelligence Technology,
Director, National Research Lab for Cognitive Humanoid Robot
President of FIRA and IROC

Abstract : 
Human beings will be living in a ubiquitous world in which all IT devices are fully networked so that they can offer us desired services at any place and anytime. This shift has hastened the ubiquitous revolution, which has further manifested itself in the new multidisciplinary research area, ubiquitous robotics. It initiates the third generation of robotics following the first generation of the industrial robot and the second generation of the service robot. A fairy tale introduced Genie, which upon springing from a lamp served Aladdin. The ubiquitous era brings us to the threshold of the realization of this dream, through ubiquitous robotics. Moreover, the robots shall have their own genome in which a specific personality is encoded. This concept leads to the research on genetic robotics. 
This talk first introduces the recent progress and development of ubiquitous robot and genetic robot. Ubiquitous robot is composed of three forms of robots: software robot, embedded robot and mobile robot to represent an amalgamation of the tripartite personification of entities of perception, thinking and action. Genetic robot has its own genetic codes to represent a specific personality. Special emphasis in this talk is placed on “Intelligence Technology (IT)” for “Robots That Think (RTT).” Considering the next generation robots, robot intelligence can be classified into six categories such as cognitive intelligence, social intelligence, behavioural intelligence, ambient intelligence, collective intelligence and genetic intelligence. The robot intelligence can be realized through intelligence Operating Architecture (iOA) in which IT is embedded. To make RTT deliberately interact with the environment, the behavior selection method based on the degree of consideration-based Mechanism of Thought (DoC-MoT) is introduced, which mimics a living creatures’ thinking mechanism. 


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