• Journal of Institute of Control, Robotics and Systems
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• v.14 no.8
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• pp.779-784
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• 2008

This paper presents Kalman filter based system modeling algorithm for autonomous robot systems. State of the robot system is measured using embedded sensor systems and then carried to a host computer via ubiquitous sensor network (USN). We settle a linear state-space motion equation for unknown robot system dynamics and modify a popular Kalman filter algorithm in deriving suitable parameter estimation mechanism. To represent time-delay nature due to network media in system modeling, we construct an augmented state-space model which is mainly composed of original state and estimated parameter vectors. We conduct real-time experiment to test our proposed estimation algorithm where speed state of the constructed robot is used as system observation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1596-1601
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• 2019

A smart robot game, which is one of the new type expanding the market through coding education classes recently, has a characteristic to manipulate digital games with a smart-phone while using a robot instead of existing games. Under the same rules, the virtual world's game is connected to real world's robot through a smart-phone, and the game is played while exchanging data. This study analyzes smart robot game by dividing them into media features, digital game features, and playful features. In addition, we developed the game based on the board game genre that has the general rules while using the derived development features. As a result, by presenting the case of development of smart robot board game, we would like to propose the points to be considered in the development of smart robot game.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1350-1353
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• 2015

In this paper, we have researched about how to detect the fish robot objects in aquarium. We had used designed fish robots DOMI ver1.0, which had researched and developed for aquarium underwater robot. The model of the robot fish is analysis to maximize the momentum of the robot fish and the body of the robot is designed through the analysis of the biological fish swimming. We are planned to non-external equipment to find the position and manipulated the position using creating boundary to fish robot to detect the fish robot objects. Also, we focused the detecting fish robot in aquarium by using boundary algorithm. In order to the find the object boundary, it is filtering the video frame to picture frames and changing the RGB to gray. Then, applied the boundary algorithm stand of equations which operates the boundary for objects. We called these procedures is kind of image processing that can distinguish the objects and background in the captured video frames. It was confirmed that excellent performance in the field test such as filtering image, object detecting and boundary algorithm.

• Journal of the Microelectronics and Packaging Society
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• v.23 no.4
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• pp.119-123
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• 2016

In this paper, we have fabricated the position detection system with LED and optical sensor to detect a position and trace of robot through visible light communication (VLC). The fabricated position detection system did not have been affected by sunlight in outdoor and a fluorescent light in building. Because 4 LEDs, respectively, transmitted different signals, we have known the position of robot. And we have also observed a trajectory of robot in real time.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.7
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• pp.1-10
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• 1996

There are many challenging problems in mobile robot navigation. As an example, a mobile robot may wander around in local minimum and may wiggle when it moves through a narrow corridor. In addition, the real time obstacle avoidance and the posture control of mobile robot are also very improtant problems. To address these problems, a navigation algorithm which is composed o freal time obstacle avoidance algorithm and a global path planner (GPP) that genrates the shortest path is presented. In this paper, the global path planner reduce the calculation time by reducing the dta to be handled. Also it can make a real time obstacle avoidance by using the fuzzy logic inference. So the presented algorithm provide a stable navigastion for the mobile robot when it fall into the unstable navigation.

• Journal of The Korean Association of Information Education
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• v.9 no.3
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• pp.501-510
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• 2005

To facilitate interaction between home robot and humans, it's urgently needed to make in-depth research in Human-Robot Interaction(HRI). The purpose of this study was to examine how children interacted with a newly developed home robot named 'iRobi' in a bid to identify how the home robot affected their psychology and the effectiveness of learning through the home robot. Concerning the psychological effects of the home robot, the children became familiar with the robot, and found it possible to interact with it, and their initial anxiety was removed. As to its learning effect, the group that studied by using the home robot outperformed the others utilizing the other types of learning media (books, WBI)in attention, learning interest and academic achievement. Accordingly, home robot could serve as one of successful vehicles to expedite the psychological and educational interaction of children.

• Journal of Engineering Education Research
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• v.15 no.4
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• pp.85-93
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• 2012

This paper is to explore the effects of Robot Based Instruction(RBI) on the learning attitude of elementary school students. According to this research, researcher found out that there is significant improvement in learning attitude score after RBI was applied. The result of verification on the learning attitude is difference by sex showed that male students' learning attitude score is more high better than another group. In particular, it showed that there is more significant improvement in science art discretionary activities subjects. The above-mentioned results are based on as follows two reasons. First, RBI is efficient to improve students' internal motivation and ownership about tasks, and that is related to environment of learning and instruction focused on authentic task and practice. Second, educational advantages of robot media was reflected appropriately in RBI, also appropriate instructional environment for RBI was supported.

• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.1-12
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• 2011

This paper is to explore the effects of Robot Based Instruction(RBI) on improving immersion learning. According to our research, we found out that there is significant improvement in learning immersion and there's 9 sub-factors score after RBI was applied. Also from the result that there is no significant difference between male and female students in learning immersion score, we can found that RBI can improve the learning immersion of students regardless of the learner's sex. The result of verification on the learning immersion is difference by subjects showed that there is significant improvement only in korean, science, art subject among 7 subjects. The above-mentioned results are based on as follows two reasons. First, RBI is efficient to improve students' internal motivation and ownership about tasks, and that is related to environment of learning and instruction focused on authentic task and practice. Second, educational advantages of robot media was reflected appropriately in RBI, also appropriate instructional environment for RBI was supported.

• Journal of information and communication convergence engineering
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• v.8 no.2
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• pp.191-196
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• 2010

This paper presents automatic generation of robot motion using posture template in physical training system. In this system, we define a human-like generic template with two angles, then, we generate robot motion that has used angle data of the created template. The angle data is transformed automatically to the most similar motion. This is achieved by suitable expressions for robot specification. The expressions intend to differences of angle measurement on X,Y,Z planes and DOF constraint. We choose several postures and create generic templates for chosen postures. Robot motions are also generated from generic templates by expressions.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.82-84
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• 2022

최근 자율주행에서 안전한 주행을 위해 영상 기반 다중객체 검출 기술이 활발히 연구되고 있다. 이때, 저해상도 영상은 객체 검출 단계에서 정확도가 떨어지는 한계가 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 초해상화와 객체 검출을 위한 방법을 함께 사용하는 기법을 제안한다. 더 나아가 초해상화 단계에서 하나의 구분자만 사용하는 기존의 방법과 다르게 이미지 생성 과정 중간에서 추가의 구분자를 사용하여 총 두 개의 구분자를 사용하여 성능을 향상하고자 하였다. 본 논문은 한국 고속도로 교통 데이터를 사용하여 실험하였으며, 그 결과 제안된 방법의 성능이 mAP@0.5 및 F1 점수 측면에서 기존 방법보다 우수하다는 것을 확인하였다.