• Journal of The Korean Association of Information Education
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• v.20 no.4
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• pp.323-332
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• 2016

A robot's recognition and diagnosis of pronunciation and its speech are the most important interactions in RALL(Robot Assisted Language Learning). This study is to verify the effectiveness of robot TTS(Text to Sound) technology in assisting Korean English language learners to acquire a native-like accent by correcting the prosodic errors they commonly make. The child English language learners' F0 range and speaking rate in the 4th grade, a prosodic variable, will be measured and analyzed for any changes in accent. We compare whether robot with the currently available TTS technology appeared to be effective for the 4th graders and 1st graders who were not under the formal English learning with native speaker from the acoustic phonetic viewpoint. Two groups by repeating TTS of RALL responded to the speaking rate rather than F0 range.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.591-597
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• 2007

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, the new polygon based Q-learning algorithm and distributed genetic algorithms are proposed for behavior learning and evolution of collective autonomous mobile robots. And 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 is adopted in this paper. we verify the effectiveness of the proposed method by applying it to cooperative search problem.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.19-22
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• 2002

분류자 시스템은 유전자 알고리즘(Genetic Algorithm : GA)을 이용하여 새로운 규칙 집합을 발견하는 시스템이다 또 로봇 축구 시뮬레이션 게임(SimuroSot)은 시간에 따라 상태가 변화하는 동적인 시스템이다 본 논문에서는 GBML(Genetic Based Machine Learning)의 한 갈래이자 미시간 접근 방법을 기반으로 하는 Zeroth Level Classifier System(ZCS)을 SimuroSot에 적용하여 게임 전략을 구성하는 새로운 규칙의 발견과 학습에 의한 축구 로봇의 행동전략 알고리즘을 제안하고, 시뮬레이션을 통하여 본 전략의 유용성을 확인한다

• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.61-73
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• 2011

The analysis on learners made through the study focuses on the intention of the participants in the learning activities of the robot programming. Therefore, for the analysis of the learners' intention, which is tried in the study, TAM, the analysis tool used for understanding buying acts or buying intention of buyers in the business sector, is basically utilized, and the Flow theory is additionally applied, trying to know, through the quantum analysis methods, the factors to give influence on the intention for learners to take part in the robot programming lesson. For this, a quantum analysis was made by PLS analysis, a kind of structural equations. As the result of the analysis, it is confirmed that such factors as 'recognized utility' and 'recognized readiness' and 'Flow' give significant influence on the intention of learners' participation in the lesson. As the result of the synthetic analysis and in regard with the value of the programming lesson, it is found that the following factors give actual influence to the intention of learners: the group where learners belong or teaching-learning organizations together with creating social rapport, learning tasks given for learners, etc.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.106-113
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• 2019

The purpose of this paper is aimed to derive suggestions for convergence technology for effective management of distance education by analyzing a long-term case. The experiment was designed with notebook, smartphone or tablet based robot controlled by a remote instructor and a learner, who have experience of distance learning including robot assisted learning. The tablet based robot has the display system of feedback to speakers. During five months, three types of experiments were conducted randomly and a participant was interviewed thoroughly. The result, like the previous research, demonstrates that the task performance of the learner in telepresence robot-assisted learning was better than that in the notebook, and smartphone based. However, it is believed to be necessary to adjust the system for eye-contact and voice transmission for the remote instructor. The instructor required an additional sight by supplementing an extra camera and automatic direction control to source of sound.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.15-22
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• 2011

Most of the robot programming curriculums consists mainly of understanding robot programming language and learning a simple grammatical sentences rather than logical problem solving process, these curriculums impose a burden on childrens' learning. Storytelling offers opportunities for continuation of childrens' positive learning motivation to practice symbolic manipulations, hold multiple abstract concepts in their heads, and create meaning between these ideas. In this paper, to overcome the difficulty of robot programming curriculum in elementary school and find teaching method which derives the childrens' motivation, we used storytelling in study of our robot programming curriculum.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.6
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• pp.1355-1360
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• 2014

In this paper, we apply the learning of the mobile robot insect augmented reality Digilog Book. In the era of electronic, book written in paper space just have moved to virtual reality space. The virtual reality, constraints spatial and physical, in the real world, it is a technique that enables to experience indirectly situation not experienced directly as user immersive experience type interface. Applied to the learning robot Digilog Book that allows the fusion of paper analog and digital content, using the augmented reality technology, to experience various interactions. Apply critical elements moving, three-dimensional images and animation to enrich the learning, for easier block assembly, designed to grasp more easily rank order between the blocks. Anywhere at any time, is capable of learning of the robot in Digilog Book to be executed by the mobile phone in particular.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.241-244
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• 2014

In this paper, we apply the learning of the mobile robot insect augmented reality Digilog Book. In the era of electronic, book written in paper space just have moved to virtual reality space. The virtual reality, constraints spatial and physical, in the real world, it is a technique that enables to experience indirectly situation not experienced directly as user immersive experience type interface. Applied to the learning robot Digilog Book that allows the fusion of paper analog and digital content, using the augmented reality technology, to experience various interactions. Apply critical elements moving, three-dimensional images and animation to enrich the learning, for easier block assembly, designed to grasp more easily rank order between the blocks. Anywhere at any time, is capable of learning of the robot in Digilog Book to be executed by the mobile phone in particular.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.3-5
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• 1999

본 논문에서는 진화 하드웨어에 기반한 자율 이동 로봇의 온라인 학습 기법에 관하여 소개하고자 한다. 진화 하드웨어는 실행 시간중에 하드웨어 회로 구성을 변경시킬 수 있는 새로운 개념의 FPGA이다. 제어 프로그램은 진화 하드웨어상에 트리 형식으로 구현되며 유전자 프로그래밍을 이용하여 학습하게 된다. 로봇의 환경 탐사가 진행됨에 따라 입력되는 센서 정보에 기반하여 제어 프로그램은 학습을 수행하게 되며, 노드 돌연변이의 유전 연산자를 이용하여 진화한다. 제어 프로그램의 게이트 회로는 학습의 진행에 맞추어 실행 시간중에 보다 적합도가 높은 방향으로 발전한다. 본 논문에서는 진화 하드에어를 이용한 학습 방식과 FPGA 구현 및 로봇 제어에의 응용에 대한 실험 결과 등을 설명할 것이다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.33-36
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• 2007

최근에 인공지능 분야에서는, 국내외적으로 강화학습(reinforcement learning)에 관한 관심이 크게 증폭되고 있다. 강화학습의 최근 경향을 살펴보면, 크게 가치함수를 직접 활용하는 방법(value function-based methods), 제어 전략에 대한 탐색을 활용하는 방법(policy search methods), 그리고 액터-크리틱 방법(actor-critic methods)의 세가지 방향으로 발전하고 있음을 알 수 있다. 본 논문에서는 이중 세 번째 부류인 액터-크리틱 방법 중 NAC(natural actor-critic) 기법의 한 종류인 RLS-NAC(recursive least-squares based natural actor-critic) 알고리즘을 다양한 트레이스 감쇠계수를 사용하여 연속제어입력(real-valued control inputs)으로 제어되는 Kimura의 기는 로봇에 대해 적용해보고, 그 성능을 기존의 SGA(stochastic gradient ascent) 알고리즘을 이용하여 학습한 경우와 비교해보도록 한다.