• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.403-405
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• 2012

본 연구에서는 인간과 서비스 로봇과의 상호작용에 필요한 동작의 학습을 위한 방법으로 모방학습을 활용한다. 로봇을 모방학습 시키기 위해서는 모방학습을 위한 특정한 구조가 필요하다. 따라서 선행자가 로봇을 직접 움직여 생성한 모방학습 데이터를 저장하고, 그 데이터를 학습알고리즘에 적용시킨 뒤 로봇이 학습 내용을 수행하도록 하는 모방학습 프레임워크를 제안한다. 모방학습 프레임워크의 프로그래밍은 본 연구에서 사용하는 휴머노이드 로봇인 나오에서 제공하는 그래픽기반 환경 개발도구인 콜레그래프를 활용한다.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.381-388
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• 2004

가까운 미래의 가정에서는 여러 기능을 가진 로봇이 등장하여 사람과 늘기도 하고 집도 지키는 방범활동도 수행하는 등 공상과학영화 속의 일들이 현실로 다가올 것이다. 핵가족화와 맞벌이 부부의 증가로 어린이들이 혼자 집에 있는 시간이 많아졌으며 이에 불안을 느낀 학부모들은 자녀들을 학원 등의 사설교육기관에 맡겨 사교육비의 증가가 사회문제로 대두되고 있다. 그러나 가정에서 부모와 떨어져 있는 동안의 어린이의 생활을 보여주거나 학습을 도와주는 로봇이 가정에 있다면 부모들은 안심하고 직장생활에 더욱 충실하게 될 것이며 사교육비의 감소현상에도 기여할 수 있을 것이다. 이에 본 논문에서는 가정용 로봇이 서비스하게 될 기능들 중에 초등학교 어린이의 학습을 도울 수 있는 기능에 초점을 맞추어 설문을 통해 요구를 조사하고 분석하였으며 홈 로봇과 사용자간의 메뉴를 크게 일정관리, 학습관리, 학습, 메신저 등의 카테고리로 분류하여 각 항목별로 세부 서비스 내용을 체계화하였다. 로봇을 활용한 학습 도우미 시스템의 설계는 앞으로 무한한 부가가치를 창조하게 될 로봇산업의 발달과 새로운 형태의 교육을 가능하게 하는데 큰 기여를 하게 될 것이다.

• The Journal of Korean Association of Computer Education
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• v.12 no.4
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• pp.13-21
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• 2009

Educational robots have various potentialities to support programming learners because it is interesting enough to improve the learners' participation and motivation. Nonetheless, some researches assert that the use of educational robot does not necessarily lead to effective and successful learning. With respect to these serious problems, the researchers are emphasizing that it is needed to overcome the probable 'Novelty Effect' by means of considering specific features of the robot programming environment and the participants. We analyzed and found some features of robot programming teaching and learning environment and professional high school students through reviewing of the literatures, and then conducted delphi research to abstract motivational strategies and to develop their applying methods with the specific features. We developed a robot programming teaching and learning model for stimulating and maintaining professional high school student's motivation, which includes 5 factors and 21 strategies.

• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.497-508
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• 2009

As the educational use of intelligent service robots has been proved to be effective, educational service robots have been utilized in kindergarten. In addition, service robots will be used in elementary schools from 2010 for the after-school English program. This trend indicates that r-Learning using service robots will become a major educational paradigm in preparing for future education. This article consists of the following four parts. First, the concept and the type of educational robots were defined and the trend of previous research was examined. Second, the characteristics of robot-assisted learning were analyzed as a part of r-Learning, and difference between r-Learning and u-Learning was compared. Third, the contents and service using a robot-assisted learning system were discussed, the models and trend of service using the robot-assisted learning system were examined, and the aspects of viewing evolution were compared. Finally, suggestions for activating the service market of robot-assisted learning were made for the educational institution, research institution, government and robot companies.

• 한국정보교육학회:학술대회논문집
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• 2010.01a
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• pp.343-346
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• 2010

최근 지능형 교육서비스로봇을 이용한 교육적 효과가 입증되면서, 유치원에 상용화가 시작되었으며, 2010년에는 초등학교 방과후 학교 영어수업을 위한 기술 개발과 필드 적용 연구가 진행되어 로봇보조학습, 즉 서비스로봇에 의한 r-Learning 패러다임의 본격적인 도래를 예고하고 있다. 이에 본 연구에서는 교육용 로봇의 개념과 종류를 정의하고, 관련 연구 동향을 살펴보았다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.475-478
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• 2010

본 연구는 프로그래밍 학습에서 교육용 로봇인 피코크리켓을 활용하여 동료지도학습을 실시하고 학업성취와 교우관계에 미치는 영향에 대해서 효과를 검증하는 실험연구이다. 프로그래밍 학습은 다양한 학습효과에도 불구하고 문법의 어려움과 학습내용의 어려움 때문에 그 효과를 제대로 발휘하지 못하고 있다. 그러나 교육용 로봇에서 사용하는 프로그래밍 언어는 입문자를 배려한 프로그래밍 방법을 사용하여 학습자가 쉽게 다가갈 수 있는 요소가 있다. 한편 프로그래밍 교육은 타 학습내용에 비해 수준별 학습이 더욱 요구되는 학습내용으로서 일제식 수업방법으로는 지도의 어려움이 많다. 따라서 본 연구에서는 교육용 로봇을 활용하여 프로그래밍 교육을 동료지도학습법으로 실시하고 이의 학업성취와 교우관계에 미치는 영향을 탐색해 보는 연구를 설계하였다.

• The Journal of Korean Association of Computer Education
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• v.13 no.5
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• pp.71-80
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• 2010

A lot of studies in and outside the country says that robots can become an effective tool in developing creativity, problem solving skills and positive learning motivation in the knowledge and information era. This study aims to verify the educational effect of robots in mathematics education by applying robots to mathematics education as a learning tool in an effort to improve the teaching/learning environment. For this study, the mathematics curriculum of elementary school and robot programming were analyzed and then a robot integrated mathematics program was developed. The developed program was applied to the mathematics education of an elementary school year 5 over 16 times. The result of the study showed that the experimental group which used the robot integrated program has better learning attitude and problem solving skills than the group which used the traditional method. The result also showed that the mathematics activities that used robot programming contributed to developing problem solving skills and provided positive mathematics learning experience.

• The Journal of Korean Association of Computer Education
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• v.12 no.1
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• pp.45-55
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• 2009

The purpose of this study was to examine the possibility of development of flow level and problem-solving ability by Using robots in the programming classes. For this purpose, a course has been developed which consists of (1) strategies to motivate students and to improve flow level (2) Creative Problem Solving (CPS) teaching model to improve their problem solving abilities. We experimented the course with 30 second-grade middle school students and we could observe that the robot programming learning considered gender differences helps improving their problem solving abilities and flow level. Specially, the group of the female student was greater improvement than the group of the male student on flow level.

• Journal of Internet of Things and Convergence
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• v.7 no.4
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• pp.29-34
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• 2021

In order to apply reinforcement learning to a robot in a real environment, it is necessary to use simulation in a virtual environment because numerous iterative learning is required. In addition, it is difficult to apply a learning algorithm that requires a lot of computation for a robot with low-spec. hardware. In this study, ML-Agent, a reinforcement learning frame provided by Unity, was used as a virtual simulation environment to apply reinforcement learning to the obstacle collision avoidance problem of mobile robots with low-spec hardware. A DQN supported by ML-Agent is adopted as a reinforcement learning algorithm and the results for a real robot show that the number of collisions occurred less then 2 times per minute.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.279-284
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• 2009

In swarm robot systems, each robot must behaves by itself according to the its states and environments, and if necessary, must cooperates with other robots in order to carry out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, reinforcement learning method using many SVM based on structural risk minimization and distributed genetic algorithms is proposed for behavior learning and evolution of collective autonomous mobile robots. By distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability. Specially, in order to improve the performance of evolution, selective crossover using the characteristic of reinforcement learning that basis of Cascade SVM is adopted in this paper.