• 한국컴퓨터정보학회논문지
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• 제20권5호
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• pp.161-169
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• 2015

본 논문에서는 초등 영재들의 IT 융합 학습을 위한 스마트 기기 기반의 로봇 프로그래밍 교육 프로그램을 제안하고, 스마트 기기 기반의 로봇 프로그래밍 교육 이후 초등 영재 수준에 따른 IT 융합 학습에 대한 만족도와 기대-가치 인식 차이를 분석하였다. 초등 영재들의 IT 융합 학습을 위한 스마트 기기 기반의 로봇 프로그래밍 교육 프로그램은 WTEC에서 제안한 인간 융합 과정을 기초로 설계하였으며, 초등 영재들이 실질적인 IT 융합 과정을 경험할 수 있도록 하기 위해서 창의성 단계, 통합 단계, 혁신 단계, 산출 단계로 구성하였다. 본 연구를 통해서 개발된 스마트 기기 기반의 로봇 프로그래밍 교육 프로그램은 초등 영재 126명을 대상으로 적용하였으며 그 결과를 분석하였다. 스마트 기기 기반의 로봇 프로그래밍 교육에 대한 만족도를 분석한 결과, 초등 심화 집단과 초등 기초 집단 모두 높은 수업 만족도를 보이는 것으로 나타났으나, 초등 심화 집단의 수업 만족도가 상대적으로 높은 것으로 나타났다. 또한, 초등 심화 집단이 초등 기초 집단에 비해 IT 융합 학습에 대한 기대-가치 인식이 높은 것으로 나타났다. 본 논문의 2장에서는 IT 융합 학습과 로봇 활용 교육을 분석한 관련 연구를 제시하였으며, 3장에서는 실제 스마트기기 기반의 로봇 프로그래밍 교육 프로그램 설계 및 연구 과정을 기술하였고, 4장에서는 실험 수업 결과를 분석한 연구결과를 제시하였다.

• 한국정보통신학회논문지
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• 제4권3호
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• pp.585-594
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• 2000

생산현장이나 불확실한 환경에서 자율이동로봇의 정확한 경로 추종은 고전적 제어 알고리즘인 경우에 많은 단점을 갖고 있다. 본 논문에서는 오류 역전파 알고리즘을 기반으로 한 신경망을 이용하여 이동로봇이 바닥 위에 설치된 선을 따라갈 수 있도록 하였다. 로봇에 부착된 3 개의 센서들로부터 인식된 정보뿐만 아니라 센서들이 인식하지 못하는 영역에서도 10등분된 세밀한 정보가 입력패턴으로 학습되기 때문에 센서들이 인식하지 못하는 영역에서도 이동로봇은 라인을 따라 원활하게 이동한다. 로봇이 목적지까지 이동하는데 걸리는 시간이 단축되고 라인과의 오차를 최소화하는 효과를 가져온다. 제안된 신경회로망 제어기의 효과를 검증하기 위하여 이동로봇의 이동 각의 변화에 따른 두개의 모터의 속도 변화가 컴퓨터로 시뮬레이션 된다.

• Journal of Advanced Marine Engineering and Technology
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• 제27권5호
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• pp.641-647
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• 2003

The use of infrared range-finder sensor as the environment recognition system for mobile robot have the advantage of low sensing cost compared with the use of other vision sensor such as laser finder CCD camera. However, it is not easy to find the previous works on the use of infrared range-finder sensor for a mobile robot because of the non-linear characteristic of that. This paper describes the error due to non-linearity of a sensor and the correction of it using neural network. The neural network consists of multi-layer perception and Levenberg-Marquardt algorithm is applied to learning it. The effectiveness of the proposed algorithm is verified from experiment.

• International Journal of Precision Engineering and Manufacturing
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• 제4권1호
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• pp.43-48
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• 2003

A linear laser-vision sensor called ‘Perception TriCam Contour' is mounted on an industrial robot and often used for various application of the robot such as the position correction and the inspection of a part. In this paper, a sensor center position calibration is presented for the most accurate use of the robot-Perceptron system. The obtained algorithm is suitable for on-site calibration in an industrial application environment. The calibration algorithm requires the joint sensor readings, and the Perceptron sensor measurements on a specially devised jig which is essential for this calibration process. The algorithm is implemented on the Hyundai 7602 AP robot, and Perceptron's measurement accuracy is increased up to less than 1.4mm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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• pp.36-40
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• 1990

Conventional back propagation learning is generally characterized by slow and rather inaccurate learning which makes it difficult to use in control applications. A new multilayer perception architecture and its learning algorithm is proposed that consists of a Kohonen front layer followed by a back propagation network. The Kohonen layer selects a subset of the hidden layer neurons for local tuning. This architecture has been tested on the inverse kinematic solution of robot manipulator while demonstrating its fast and accurate learning capabilities.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제6권5호
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• pp.211-218
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• 2017

최근 로봇 소프트웨어 플랫폼의 연구는 로봇 기기들의 추상화를 통해 지능형 서비스를 제공하는데 초점을 두고 있다. 사물인터넷 환경에서 지능형 로봇 서비스를 제공하기 위해서는 이기종 센서들의 환경정보를 인지하는 상황인지 기술이 필요하다. ROS는 로봇 디바이스를 추상화하는 기술을 바탕으로 로봇을 사용한다. ROS는 로봇을 제어하기 위해 이기종 센서 자체를 추상화하는 기능을 포함하고 있으나, 일관된 수집 방법을 통한 환경 정보를 바탕으로 로봇이 인지할 수 있는 상황 정보를 제공하는 기능은 결여되어 있다. 따라서 본 논문에서는 ROS가 상황인지 기반의 로봇 서비스를 제공하는데 필요한 중계 시스템을 제안한다. 제안하는 시스템은 로봇이 인지할 수 있는 추상화된 상황정보를 제공하는 외부의 상황인지 시스템과 로봇을 제어하는 ROS를 중계하여, ROS가 상황인지 로봇 서비스를 제공할 수 있도록 도와준다. 실험에서는 제안하는 시스템을 바탕으로, 상황인지 시스템과 ROS에서 추상화된 로봇 서비스를 연동하여 로봇 서비스를 실행시키는 과정을 보인다.

• International Journal of Control, Automation, and Systems
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• 제4권2호
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• pp.204-216
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• 2006

Latest advances in hardware technology and state of the art of mobile robot and artificial intelligence research can be employed to develop autonomous and distributed monitoring systems. And mobile service robot requires the perception of its present position to coexist with humans and support humans effectively in populated environments. To realize these abilities, robot needs to keep track of relevant changes in the environment. This paper proposes a localization of mobile robot using the images by distributed intelligent networked devices (DINDs) in intelligent space (ISpace) is used in order to achieve these goals. This scheme combines data from the observed position using dead-reckoning sensors and the estimated position using images of moving object, such as those of a walking human, used to determine the moving location of a mobile robot. The moving object is assumed to be a point-object and projected onto an image plane to form a geometrical constraint equation that provides position data of the object based on the kinematics of the intelligent space. Using the a priori known path of a moving object and a perspective camera model, the geometric constraint equations that represent the relation between image frame coordinates of a moving object and the estimated position of the robot are derived. The proposed method utilizes the error between the observed and estimated image coordinates to localize the mobile robot, and the Kalman filtering scheme is used to estimate the location of moving robot. The proposed approach is applied for a mobile robot in ISpace to show the reduction of uncertainty in the determining of the location of the mobile robot. Its performance is verified by computer simulation and experiment.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.147-153
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• 2019

Recently, the perception of software education, which had been considered as a field of education for programmers in this field, is changing in response to recent changes with the trend of 4th industrial revolution. Major counties competitively invest in software education and the target age group for software education is also on the decline. However, the traditional text-based programing languages such as JAVA and Python, have a high entry barrier. To address the shortcoming, a variety of methods have been recently proposed for the effective software education for kindergarten and elementary school student. In this paper, we propose a robot-based coding education system with steps for coding education for effective software education. The proposed method is divided into three stages, depending on the level of the student being trained in the software coding education to interact with robots. The proposed stages consists of unplugged coding using a remote control, coding using a graphic-based programming language and text- based coding. We conducted an experiment with performing separate missions while providing propoer tutorials for each stage to verify the effectiveness of the proposed software education system.

• 한국정밀공학회지
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• 제21권4호
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• pp.95-102
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• 2004

It is necessary to improve the exactness and adaptation of the working environment in the intelligent robot system. The vision sensor have been studied for this reason fur a long time. However, it is very difficult to perform the camera and robot calibrations because the three dimensional reconstruction and many processes are required for the real usages. This paper suggests the image based visual servoing to solve the problem of old calibration technique and supports OLP(Off-Line-Programming) path compensation. Virtual camera can be modeled from the real factors and virtual images obtained from virtual camera gives more easy perception process. Also, Initial path generated from OLP could be compensated by the pixel level acquired from the real and virtual, respectively. Consequently, the proposed visually assisted OLP teaching remove the calibration and reconstruction process in real working space. With a virtual simulation, the better performance is observed and the robot path error is calibrated by the image differences.

• 대한인간공학회지
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• 제31권6호
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• pp.715-723
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• 2012

Objective: The aim of this study is to investigate haptic perception related researches into three perspectives: cutaneous & proprioceptive sensations, active & passive touch, and cognition & emotion, then to identify issues for implementing haptic interactions. Background: Although haptic technologies had improved and become practical, more research on the method of application is still needed to actualize the multimodal interaction technology. Systematical approached to explore haptic perception is required to understand emotional experience and social message, as well as tactile feedback. Method: Content analysis were conducted to analyze trend in haptic related research. Changes in issues and topics were investigated using sensational dimensions and the different contents delivered via tactile perception. Result: The found research opportunities were haptic perception in various body segments and emotion related proprioceptive sensation. Conclusion: Once the mechanism of how users perceives haptic stimuli would help to develop effective haptic interactrion and this study provide insights of what to focus for the future of haptic interaction. Application: This research is expected to provide presence, and emotional response applied by haptic perception to fields such as human-robot, human-device, and telecommunication interaction.