• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.70-83
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• 2021

The issue of predicting the relationship between humans and AI robots is a 'strong AI' problem. Many experts predict the tragic ending which is a strong AI with superior thinking ability than humans will conquer humans. Due to the expectations of AI robots are projected onto media, the 'morally good AI' that meets human expectations is an important issue. However, the demand for good AI and the realization of perfect technology is not limited to machines. Rather, it appears as a result of putting all responsibility on humans, driving humans into immoral beings and turning them into human and human problems, which is resulting in more alienation and discrimination. As such, the result of technology interacts with the human being used and its properties are determined and developed according to the reaction. This again affects humans. Therefore, AI technology that considers human emotions in consideration of interaction is also important. Therefore, this study will clarify the process that the demand for 'Good AI' in the relationship of AI to humans with Randall Collins' Interaction Ritual Chain. Emotional energy in Interaction Ritual Chain has explained the formation of human bonds. Also, the methodology is a type of thinking experiment and explained through Janet and surrounding characters in the TV show .

• Journal of Engineering Education Research
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• v.11 no.4
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• pp.19-33
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• 2008

The purpose of this study is to find out the effects of the use of Chatting Method(with AI Chatting robot: Chatterbot) and Computer Interest Levels on Teaching & Learning. The major findings of the study are as follows. Firstly, the chatting activities using the chatterbot method and computer Interest Levels were not effective in the academic achievement. Secondly, the chatting activities using the chatterbot method and computer Interest Levels were effective in improving the learning motivation. Thirdly, According to the result of post-feedback analysis, the benefits of chatterbot method was 'the new', 'transcends time and space', 'drill and practice learning' and was some of the drawbacks 'response fixed', lack of emotional transactions. and the proposal 'PBL' was reached(1. strength: new experience, 2. weakness: be tired, 3. proposal: PBL approach). Fourthly, the relationship between the academic achievement, learning motivation, post-feedback was no correlation. Based on these results, the study suggests that the chatterbot method was need for multiple instructional design strategy.

• Journal of the KSME
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• v.34 no.10
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• pp.780-786
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• 1994

지금까지는 많은 노력이 로봇자체의 지능화 노력과 각종 센서의 개발과 활용기술의 발달로 로 봇이 작업상황과 환경을 쉽게 인식할 수 있게 되었으며, 이러한 센서들의 원리와 응용에 대한 정보는 문헌에서 쉽게 찾아 볼 수 있다. 따라서 여기서는 로봇제어의 관점에서 본 인공지능의 활용측면에서 서술하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.129-131
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• 2022

본 논문에서는 다양한 인공지능을 모듈화하고 모듈들을 서로 결합하여 서비스를 제공할 수 있는 지능형 서비스 로봇에서, 인공지능 모듈들을 라이브러리 간의 의존성을 해소하기 위한 방법 중 하나인 가상 머신의 일종인 도커(Docker)를 활용하여 컨테이너화하여 사용할 때, 인공지능 모듈 내부에서 사용하는 신경망 데이터에 해당하는 지능 모델에 대해 버전 관리를 수행하면서 클라우드 등 외부 서버를 이용하여 증강시킨 지능 모델을 공유하는 기술 개발에 대해 설명한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.53-56
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• 2022

본 논문에서는 심전도(ECG) 센서와 에지 컴퓨팅(Edge computing)을 활용하여 실시간 데이터와 Bayesian optimization을 통한 기계학습 알고리즘으로 재활 로봇에서 발목을 제어할 수 있는 Parameter(외골격 관련) 최적값을 출력한다. 심전도 센서 적용을 기반으로 하는 바이오 데이터 기술, 기계 학습(Bayesian optimization) 모델 접근 방식과 하드웨어 결합으로 재활 로봇 모터를 제어할 수 있는 Parameter 제공과 실시간 모터 제어 운영할 수 있도록 분석 플랫폼을 구축한다. 이 플랫폼을 이용해보다 효과적인 이동형 로봇설계 및 처리 방법을 연결할 수 있는 발판을 마련하였고, 로봇제어에 많이 사용하고 있는 매트랩 시뮬링크(Matlab simulink)를 연결할 수 있는 범용 통신 지원한다. 센서-전처리-인공지능 알고리즘-모터 제어 Parameter로 연계되는 데이터 가공과 처리 방법으로 최근 분석 기법을 적용하여 바이오 데이터 연구 활동과 이동형 재활 로봇 관련 데이터 분석 분야를 쉽게 접근할 수 있도록 한다.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.536-550
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• 2018

This paper examine how acceptance of AI robots can be achieved according to occupational groups when the discourse on human labor and occupation changes due to the new industrial revolution is spreading steadily. Previous research on the acceptance of new technologies and products has predicted use behavior through subjective beliefs and values that do not change well over the short term. Therefore, this study compares the beliefs, values, and use intention of AI robots according to occupation. As a result, the subjective belief factor for AI robots was classified into belief in rationality(reason) and belief in benevolence(emotion). The value factors were divided into acceptance value(role performance, communication, social comparison) and avoidance value(risk, complexity). There was a significant difference in the effect of these on the use intention of AI robot by occupation and employment types. This result suggests that there are gaps in the occupation group at the rate of technology acceptance, as opposed to the existing prediction that AI robots will be rapidly expanded by professionals.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.470-476
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• 2020

In this paper, we present the design of modular replaceable AI server for image deep learning that separates the server from the Edge Device so as to drive the AI block and the method of data transmission and reception. The modular replaceable AI server for image deep learning can reduce the dependency between social robots and edge devices where the robot's platform will be operated to improve drive stability. When a user requests a function from an AI server for interaction with a social robot, modular functions can be used to return only the results. Modular functions in AI servers can be easily maintained and changed by each module by the server manager. Compared to existing server systems, modular replaceable AI servers produce more efficient performance in terms of server maintenance and scale differences in the programs performed. Through this, more diverse image deep learning can be included in robot scenarios that allow human-robot interaction, and more efficient performance can be achieved when applied to AI servers for image deep learning in addition to robot platforms.

• The Journal of Korea Robotics Society
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• v.1 no.1
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• pp.102-106
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• 2006

지능형 서비스 로봇은 인공지능 및 센서인터페이스 등의 다양한 기능과 IT기술의 접목으로 우리의 생활을 윤택하게 해줄 수 있는 인간 지향적인 성격으로 발전하고 있다. 또한 많은 분야에서 새로운 서비스 개발을 통해서 좀더 인간의 생활에 가까이 접근되어 지고 있다. 한편 국내 초등학교에서 초등교사는 학생 수의 과다로 능동적이기 보다는 수동적인 수업을 하고 있어서 학습 효율성이나 능률성이 떨어지고 있다. 이에 본 연구에서는 발전하고 있는 서비스 로봇 기술로 능동적인 수업형태와 자율적이고 창의적인 학습 및 교육서비스를 제공할 수 있는 교사도우미 로봇을 개발하였다. 본 연구에서 개발된 로봇은 기존의 지능형 서비스 로봇과 ICT(Information & Communication Technology) 교육을 접목할 수 있는 로봇의 제반 환경의 구성과 더불어 교육 현장에 알맞도록 HRI 및 시나리오를 기반으로 개발되었고, 로봇의 주요기능은 교사지원, 학습보조, 수업지원 등으로 사전 설문조사를 통하여 필요성이 높은 기능을 중심으로 설정되었다. 개발된 초등학교 지원 로봇은 2006년 10월부터 대전지능로봇산업화센터에서 초등학교 학생을 대상으로 시범수업을 준비하고 있고, 2007년도 중반에는 초등학교에서 시범사업을 추진할 예정이다.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.507-515
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• 2019

The positive effects of 'robot actor' born in the age of artificial intelligence on the characteristics of theater (comprehensive, liveness, duality, planning) is due to the collaboration with 'robot' engineers, which increases the comprehensive. It is possible to respond to it, so that various reaction are maintained in every performance, and enhanced illusion can be provided in 'robot' material works in which 'robot actor' plays the role of 'robot'. However, the power focused on the director can reduce the comprehensiceness, the synthesis is reduced, and the 'robot actor' cannot perform the sweat or breath of 'human actor'. In itself, duality is incomplete. In addition, there is a high risk that the improvisation within the scope of planning is likely to occur as a sudden reaction, which may limit the postponement of the 'human actor'. Based on these findings, 'philosophy', 'science' and 'art' can predict the development of artificial intelligence side by side. It is considered necessary to study to redefine the direction and identity of arts and theater that should be moved forward.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.720-725
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• 2004

Robot systems have applied to manufacturing or industrial field for reducing the need for human presence in dangerous and/or repetitive tasks. However, robot applications are transformed from industrial field to human life in recent tendency Nowadays, final goal of robot is to make a intelligent robot that can understand what human say and learn by itself and have internal emotion. For example Home service robots are able to provice functions such as security, housework, entertainment, education and secretary To provide various functions, home robots need to recognize human`s requirement and environment, and it is indispensable to use artificial intelligence technology for implementation of home robots. In this paper, implemented robot system takes data from several sensors and fuses the data to recognize environment information. Also, it can select a proper behavior for environment using soft computing method. Each behavior is composed with intuitive motion and sound in order to let human realize robot behavior well.