• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.27-30
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• 2016

본 논문은 일체형 플랫폼 디바이스인 ATMEGA-128을 이용하여 추적하는 이동로봇에 대해 서술한다. 최근 하드웨어의 개발로 일체형 플랫폼 디바이스들이 많이 개발되고 있다. 또한 디바이스와 센서 등을 접목한 여러 가지 제품들이 만들어 지고 있다. 본 논문에서는 일체형 플랫폼 디바이스중 하나인 ATMEGA 및 초음파 장비를 활용한 이동로봇의 설계 및 구현에 대해 서술한다. 초음파 장비의 발신부는 마이크로폰을 이용하여 초음파를 발생시키고 이동로봇에 부착된 수신부에서는 마이크로폰으로부터 초음파 신호를 수신 대기 한다. 이후, 수신 감도의 정확성 향상을 위해 초음파 신호를 증폭시켜 값을 판단 한다. 해당 신호를 통해 이동로봇은 초음파 신호 발신부와 수신부 사이의 거리 값을 알아낸다. 이후 가장 가까운 거리 값을 나타내는 방향을 로봇의 전면부가 되게 회전하고 직진하여 최종적으로 로봇은 발신부 방향으로 이동하게 된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1136-1139
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• 2021

쇼핑카트 부착 모듈형 로봇 'Cart-Rider'는 어드미턴스 제어를 통한 사용자의 힘 보조 기능, 딥러닝을 활용한 네비게이션 기능, GPS 를 활용한 도난 방지 기능을 제공하는 로봇으로 대형 마트에서 발생하는 안전사고 및 쇼핑카트 도난을 예방하는 동시에 사용자에게 편의성을 제공하는 로봇이다. 또한 여러 대를 겹쳐서 보관하는 기존의 카트 시스템을 유지하고 탈부착이 용이하도록 하드웨어를 제작하여 환경에 영향을 주지 않고 유지 및 보수가 용이하도록 제작했다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.160-166
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• 2021

In this study, we aim to develop a scenario for educational utilization of disaster response robots that can be used at fire sites and analyze the effectiveness of scenarios according to robot utilization education. Our scenarios were developed based on direction, reality, and rationality determined through the use of a questionnaire survey distributed to current firefighters. In addition, the educational utilization of disaster response robots and training effectiveness were analyzed through repetitive robot control training by a robot development team, current firefighters, and college students. Robot control was divided into direct control, monitor control, and simulation control, and tests were carried out five times. As a result of the analysis of the robot control test, the average time spent for each group was 28 seconds for college students, followed by development teams (30second) and incumbent firefighters (38second). According to the individual analysis results, firefighters (maximum 35second) in direct control, the development team (maximum 14second) in monitor control, and firefighters (maximum 22second) in simulation control showed the effect of shortening control time. These results show that robot control education and training is necessary for robots to be used more effectively at disaster sites.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.159-165
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• 2021

Through the fourth industrial revolution and coronavirus pandemic situation, the necessity and importance of SW education are being emphasized more. However, it is difficult to achieve the effect of improving students' computational thinking skills by just 17th hour, which is organized in the 2015 revised curriculum. Moreover, due to the coronavirus pandemic situation that has continued since last year, there are environmental restrictions on the equal SW education for students at the educational site. In this study, the unplugged class using a completion robot was designed to reflect the current situation at the educational site and experience of SW education was provided to the 6th graders of J elementary school. Through the application of a class, we checked whether the unplugged class using robots affect students' perception of SW education and the use of computational thinking skills. As a result, the unplugged class using a completion robot showed that students used computational thinking to solve given problems and had a positive impact on changes in perception of SW education.

• Journal of Korea Game Society
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• v.16 no.6
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• pp.131-142
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• 2016

Recently, a variety of methodologies based on the use of educational coding robots have been proposed and experimented in newly emerging korean educational coding markets. Due to imprecise movement accuracy of the existing coding robots, however, such robots are mainly used as a toy. Inspired by these observations, we developed a simple adjustment method during robot movements, which is based on the observation results of 6 line-tracking sensors: 3 sensors in the center of a robot and other 3 sensors at the front. These sensors help to determine whether the robot is in the right location and whether it rotates as expected. Through the well-designed experiments, we report the effectiveness of our proposed solution: the average distance error of 1.57cm and the average degree error of 2.38 degree before and after complex movements. In near future, we hope our method to be popularly used in various educational coding robot platforms.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.183-184
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• 2019

본 논문에서는 로봇과 사람의 자연스러운 감정 소통을 위한 비디오 시퀀스 표정생성 대화 시스템을 제안한다. 제안된 시스템에서는 실시간 비디오 데이터로 판단된 관객의 감정 상태를 반영한 대답을 하며, 딥러닝(Deep Learning)을 활용하여 대화의 맥락에 맞는 로봇의 표정을 실시간 생성한다. 본 논문에서 관객의 표정을 위해 3만여개의 비디오 데이터로 학습한 결과 88%의 학습 정확도로 표정 생성이 가능한 것으로 확인되었다. 본 연구는 로봇 표정 생성에 딥러닝 방식을 적용한 것에 그 의의가 있으며 향후 대화 시스템 자체에도 딥러닝 방식을 확대 적용하기 위한 초석이 될 수 있다는 점에 의의가 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.5A
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• pp.521-528
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• 2011

In sensor network environment, it is very important to localize sensor nodes. In order to know the position of nodes without GPS signals, the anchor robot approach is representatively used. Therefore, in this paper, we propose 4-Robot Localization Scheme (4RLS) that uses four mobile robots to efficiently localize sensor nodes for the fast time. Then, we show the improved performance of 4RLS in comparison with previously used three robot scheme through the real implementation and analysis.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.227-228
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• 2012

실외에서의 위치추적은 GPS(Global Positioning System) 등의 다양한 방법이 활용가능하다. 하지만 실내에서는 사용이 어려워 비전, RFID 및 Zigbee 등을 활용한 다양한 연구가 진행되고 있다. 본 연구에서는 비교적 비용 효과적으로 구축이 가능한 수동형 RFID 태그를 기반 이동형 로봇의 위치 추적 알고리즘을 제안하도록 한다. 총 7 종의 태그에 대하여 각 태그가 가지고 있는 특성을 실험을 통하여 분석하고 분석한 결과에 따라 태그를 배치하여 효과적으로 로봇의 이동에 따른 위치 추적 및 이동방향 예측방법을 기술한다. 제안하는 방법을 실험실 환경에서 레고 마인드스톰을 활용하여 그 효용성을 나타내도록 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6420-6426
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• 2013

The indoor areas for the commercial use of automatic monitoring systems of mobile robot localization improves the cognitive abilities and the needs of the environment with this emerging and existing mobile robot localization, and object recognition methods commonly around its great sensor are leveraged. On the other hand, there is a difficulty with a problem-solving self-location estimation in indoor mobile robots using only the sensors of the robot. Therefore, in this paper, a self-position estimation method for an enhanced and effective mobile robot is proposed using a marker and CCTV video that is already installed in the building. In particular, after recognizing a square mobile robot and the object from the input image, and the vertices were confirmed, the feature points of the marker were found, and marker recognition was then performed. First, a self-position estimation of the mobile robot was performed according to the relationship of the image marker and a coordinate transformation was performed. In particular, the estimation was converted to an absolute coordinate value based on CCTV information, such as robots and obstacles. The study results can be used to make a convenient self-position estimation of the robot in the indoor areas to verify the self-position estimation method of the mobile robot. In addition, experimental operation was performed based on the actual robot system.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.225-233
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• 2011

In this paper, we propose a remote control station based on the awareness of various combat field situation in order for operating multiple unmanned ground vehicles. Our remote control station is capable of sending a variety of messages designed for carrying out the skillful movement for collaborate among unmanned ground vehicles, gathering the information related with combat field situation, and completing the assigned missions which are described by operator in advance. To verify the effectiveness of our proposal, we develop the sophisticated remote control station and conduct a great many remote operating tests for multiple unmanned ground vehicles.