• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.943-944
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• 2012

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.7
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• pp.127-132
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• 2017

In this paper, we propose a controller gain based on model based design and implement the two-wheel inverted pendulum type robot using NXT Lego and RobotC language. Two-wheel inverted pendulum robot consists of NXT mindstorm, servo DC motor with encoder, gyro sensor, and accelerometer sensor. We measurement wheel angle using bulit-in encoder and calculate wheel angle speed using moving average method. Gyro measures body angular velocity and accelerometer measures body pitch angle. We calculate body angle with complementary filter using gyro and accelerometer sensor. The control gain is a weighted value for wheel angle, wheel angular velocity, body pitch angle, and body pich angular velocity, respectively. We experiment and observe the effect of two-wheel inverted pendulum with respect to change of control gains.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.145-146
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• 2008

LEGO Mindstorms NXT is a powerful robot programming target. It has ARM7, sensor and motor ports, and bluetooth support. and G-Code, C-Based, JAVA programming support, too. In this paper, we introduce the effectiveness of NXT via computer science education at college and university.

• Journal of Engineering Education Research
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• v.12 no.2
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• pp.83-88
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• 2009

In this paper the author proposes a case study of a freshmen introduction to engineering design course ing LEGO Mindstorm NXT and analyzes the survey results of the course. The diffilculties are that this course should provide various aspects of design experiences to the students while not requiring the major knowledge and skills and it should attract the students to the engineering major. According to our case study LEGO mindstorm can be a good solution to this problem. The design experience with LEGO Mindstorm NXT provides students with various aspects of design experiences including defining problem, finding constraints and functions, exploring design space, and performing preliminary design, as well as fun. This paper also provides a project list that can be used for freshmen design experience including soccer game robots, line tracer, and vacuum cleaner etc.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.860-862
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• 2007

최근 IT분야에서는 URC(Ubiqutious Robotic Companion)라는 새로운 개념의 로봇 시스템에 대한 연구가 이루어지고 있다. 본 논문에서는 NXT Mindstorm을 이용한 길안내 네트워크 로봇 시스템을 제안한다. LEGO brick을 이용해 이동 가능한 로봇을 제작하고 RFID 시스템을 장착한다. 로봇의 이동은 네트워크 서버를 통해 NXT Mindstorm으로 직접 전달하여 제어한다. 또한 로봇의 경로이탈이 발생하면 RFID 리더는 Tag의 정보를 읽어 네트워크 서버로 전달하며, 네트워크 서버는 전달받은 데이터 처리 후 NXT Mindstorm으로 명령을 전달하여 제어한다.

• Journal of The Korean Association of Information Education
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• v.13 no.1
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• pp.69-76
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• 2009

This paper proposes a teaching plan of programming language class for university of education students amusingly with LEGO Mindstorms NXT robot. The goal of class is not fragmentary knowledge acquirement but problem-solving of maze. This robot communicates with GUI named NXT-G installed in computer via USB. GUI is not text-based but icon-based programming tool. This paper designs a semester with 3 steps such as beginner, intermediate, high-rank. Beginner step is consists of learning of basic functions such as GUI usage and several sensors of robot. Intermediate step is consists of solving of maze problem with low complexity. High-rank step is consists of solving maze problem with medium and high complexity. All maze problem-solving have 3 process with algorithm, flowchart, and programming with stack.

• The KIPS Transactions:PartA
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• v.18A no.5
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• pp.165-176
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• 2011

In this paper, we show how a curriculum using LEGO MINDSTORMS NXT robot based ROBOTC for undergraduate students has been developed, and we analyze the educational effect of the curriculum. The curriculum is composed of basic knowledge learning, practice with basic robots, practice with advanced robots, and creative design and implementation of robots. During the three year period since 2009, educational achievement has been analyzed by surveys for 6 classes, 94 students. According to the analysis, the curriculum has highly motivated the students and made them to achieve effectively our educational and academic goals. Also, we observe that the curriculum helped the students to improve their creativity and the problem solving skill, and that the students were autonomously and deeply involved in the homework and the term projects, which made them be very cooperative. Finally, the intensive practice with ROBOTC programming is shown to help students to improve their programming ability of C language.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1559-1562
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• 2012

레고 마인드스톰 NXT는 다른 로봇 키드에 비해서 조작이 간편하며, 고차원적인 로봇 행위를 제어하기 위해 펌웨어인 leJOS를 지원하며, 블루투스를 이용한 원격 제어가 가능하다. 그러나 leJOS는 외부 파일을 제어하거나 센서 하드웨어가 정상 동작하지 않는 등의 몇 가지 문제점이 발견되었다. 본 논문에서는 leJOS가 갖는 이러한 일련의 문제점을 살펴보고, 이에 대한 해결책을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.8-9
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• 2016

본 연구는 Lego Mindstorms NXT 상에서 음악을 재생할 수 있도록 하는 SimMusic language를 정의한다. 재생하고자 하는 악보는 SimMusic language로 작성되고, Lego Mindstorms NXT로 조립된 SimMusic player는 SimMusic 프로그램을 읽고 음악을 재생한다. SimMusic player를 통해 하나의 악보가 재생되는 일련의 과정은 컴퓨터 구조에서 프로그램이 수행되는 과정을 기반으로 구현되었기 때문에, 본 연구는 비전공자도 쉽게 컴퓨터 과학의 기초를 다질 수 있는 계기가 된다.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.3
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• pp.215-221
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• 2010

This paper introduces development of location estimation and navigation system of mobile robots using USN and LEGO Mindstorms NXT. Developed system includes location estimation, location and navigation information display and navigation control parts. It used ZigBee based USN which was built with CC2431 chip to locate blind node and implemented fuzzy model to improve ability of calculation of distances from reference nodes and location of mobile robots. This paper proposed combination method of location estimation using USN and encoder which is built in motors of mobile robots. Experimental results showed proposed method is superior to the method which used USN only in location estimation and navigating robots. Developed system can locate current position of mobile robots and monitor information from sensor nodes like temperature, humidity and send control signal to mobile robot to move.