• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.961-964
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• 2009

본 논문에서는 휴대폰과 LEGO Mindstorms NXT를 이용한 원격제어로봇 개발 모델을 제안하고 이를 기반으로 원격제어 로봇을 설계하였다. 제안하는 원격제어로봇 개발 방법은 LEGO Mindstorms NXT를 이용한 하드웨어 설계, 다양한 Tool을 이용한 소프트웨어 설계, Host System의 응용프로그램 개발로 구성되며, Host System으로는 WPAN Platform을 탑재한 휴대폰을, 통신 방식으로는 블루투스를 적용한다.

• Journal of The Korean Association of Information Education
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• v.14 no.2
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• pp.209-218
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• 2010

Robot Curriculum based education in Insects Robot help elementary school students better understand how a robot works. This robot curriculum is aimed at elementary school students in fifth grade. This study progressed with LEGO(R) MINDSTORMS(R) NXT, departed 6 groups, reached the insect's movement, designed robot like insects. This curriculum enhanced discussion prowess and improved the ability of building robot. During this study, most of the students were attracted to the action of the robot-like insect's movement.

• The Journal of Korean Association of Computer Education
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• v.10 no.6
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• pp.19-27
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• 2007

To help programming learning, we have designed a robot programming course that improves complex cognitive abilities. The developed course was implemented in college programming classes and educational effects were analysed. While students are learning through LEGO Mindstorms NXT and NXT-G software, the students' problem solving abilities have been enhanced. The developed robot programming course gives positive effects on learners' problem solving abilities. It means that the developed course helps a learner in a cognitive domain.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.337-339
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• 2005

본 논문에서는 임베디드 시스템의 제어를 위해 동기화 언어인 에스테렐로 개발된 소프트웨어가 소프트웨어 요구사항을 만족하는지 확인하기 위한 Model-based Test(MBT) 프레임 워크를 제안한다. 제안된 프레임 워크를 기반으로 작성한 프로토 타입의 테스트 도구는 요구사항 모델을 창조하여 On-the-fly 방법을 통해 테스트 케이스를 랜덤하게 자동으로 생성하여 소프트웨어에 대하 테스트를 자동으로 수행한다. 간단한 case study로 레고 마인드스톰 로봇 제어 소프트웨어에 MBT를 수행하고 그 결과를 확인한다.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.190-205
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• 2017

The purpose of this study was to analyze domestic research trends of software education using robot, and find out implications for studies. The 108 articles from 2006 to 2016 in terms of software education using robot were analyzed. Results showd that there has been the growing number of articles, the development research was most frequently used in those studies. And most articles were studies on elementary school students. There used programming such as Scratch, NXT-G etc. and utilized robot likes Mindstorms series, Picocriket etc. Also, there applied to PBL, CPS etc. on software education using robot. Finally, Positive results were shown in learners' cognitive and affective domain. This research has an significance in terms of verifying the educational implications of software education using robot, and offering the direction of software education using robot in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.207-214
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• 2011

In this paper, using Zigbee-based wireless sensor networks and Lego MindStorms NXT robot, a remote monitoring and navigation system for mobile robot has been developed. Mobile robot can estimate its position using encoder values of its motor, but due to the existing friction and shortage of motor power etc., error occurs. To fix this problem and obtain more accurate position of mobile robot, a ultrasound module on wireless sensor networks has been used in this paper. To overcome disadvantages of ultrasound which include straightforwardness and narrow detection coverage, we rotate moving node attached to mobile robot by $360^{\circ}$ to measure each distance from four fixed nodes. Then location of mobile robot is estimated by triangulation using measured distance values. In addition, images are sent via a network using a USB Web camera to smart phone. On smart phones we can see location of robot, and images around places where robot navigates. And remote monitoring and navigation is possible by just clicking points at the map on smart phones.

• Journal of The Korean Association of Information Education
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• v.17 no.3
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• pp.347-355
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• 2013

A robot assisted education has advantages to increase the students' flow degree. Especially, when we teach programming with robots we take advantages that the students can easily understand the programs because they are interested in the robots and they can see the movement of the robots. However, it is difficult to teach programming to meet our purposes because the students have reluctances to the robot programming with sensors and they take a lot of time building the robots. Therefore, in this paper I analysed the patterns of the robot programming and propose new robot programming education methods that the students need not to care to the sensors. According to this methods, we can teach the robot programming efficiently because we reduce the time to build and programming the robots.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.108-115
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• 2011

Virtual Robot Education System (VRES), which is for programming education with a Lego Mindstorm NXT robot, is designed and implemented. Through this system, program learners can edit source code, compile, download it into the robot, and run their executive program. In order to observe it, the system includes web cameras and provide monitoring services. Thus, students are able to verify the operation of robot into which they download their program in detail and to debug if necessary. In addition, we design a new simple user-friendly programming language and a corresponding compiler for it. With those tools, learner can more easily create programs for NXT robot and test them than Java language. A educator can control and manage the robot for the subject of a class with direct control mode of our system. Therefore, the proposed system is able to support students to learn robot programming during or after regular classes with web browsers through Internet.

• The Mathematical Education
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• v.53 no.3
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• pp.413-434
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• 2014

Logic lays the foundation of Mathematics and the development of Mathematics is dependent on critical thinking. So it is important that school mathematics helps students develop their logical and critical thinking ability for both mathematics learning and problem solving in general. MINDSTORMS, a LEGO based programming activity kit, is an effective teaching and learning tool that can be used to enhance logical and critical thinking in students. This study focused on measuring the growth of students' ability to think logically and critically when they used MINDSTORMS activities to learn programming. In addition, we investigated how the students' logical and critical thinking changed from the MINDSTORMS learning experience. The study confirmed that the programming activities using MINDSTORMS help to enhance logical and critical thinking in students. The students attitude about logical and critical thinking became more positive and the activities helped to engage students to think logically and critically. This type of programming activities should be valuable in mathematics education and it should be included in a general mathematics curriculum.

• The Transactions of the Korean Institute of Power Electronics
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• v.16 no.2
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• pp.162-172
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• 2011

This paper proposes embedded System of two wheeled inverted pendulum robot designed by model based design method, using MATLAB/SIMULINK and LEGO NXT Mindstorms. At first, stability and performance of controller is verified through modeling and simulation. After that direct conversion from simulation model to C code is carried and effectiveness of controller is experimentally verified. Two wheeled inverted pendulum robot has basic function about autonomous balancing control using principle of inverted pedulum and it is also possible to arrive at destination. In this paper, state feedback controller designed by quadratic optimal control method is used. And quadratic optimal control uses state feedback control gain K to minimize performance index function J. Because it is easy to find gain, this control method can be used in the controller of two wheeled inverted pendulum robot. This proposed robot system is experimentally verified with following performances - balancing control, disturbance rejection, remote control, line following and obstacle avoidance.