• 로봇학회논문지
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• 제14권4호
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• pp.293-300
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• 2019

In this paper, an Embedded solution for fast navigation and precise positioning of mobile robots by floor features is introduced. Most of navigation systems tend to require high-performance computing unit and high quality sensor data. They can produce high accuracy navigation systems but have limited application due to their high cost. The introduced navigation system is designed to be a low cost solution for a wide range of applications such as toys, mobile service robots and education. The key design idea of the system is a simple localization approach using line features of the floor and delayed localization strategy using topological map. It differs from typical navigation approaches which usually use Simultaneous Localization and Mapping (SLAM) technique with high latency localization. This navigation system is implemented on single board Raspberry Pi B+ computer which has 1.4 GHz processor and Redone mobile robot which has maximum speed of 1.1 m/s.

• 로봇학회논문지
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• 제14권2호
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• pp.150-156
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• 2019

Haptic systems have been widely used for both virtual reality and augmented reality application including game, entertainment, education and medical sectors. Clothing designers and retailers initiated using AR and VR technologies to help the consumers find style with the perfect fit. Most of the developed augmented reality shopping is implemented by overlapping the image of the clothes on the customer so that he/she can find the fit. However, those are only visual information and the customer cannot experience the real size and the stiffness of the clothes. In this paper, we present the haptic upper garment which provides the haptic feedback to the user using cables. By controlling the length of the cable, the size of the clothes is set and by stiffness control, the compliance of the fabric is implemented. The haptic garment is modeled for precise control and the distributed controller architecture is described. With the haptic upper garment, the user's experience of the virtual clothes is greatly enhanced.

• 로봇학회논문지
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• 제17권2호
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• pp.152-158
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• 2022

As various mobile robots and manipulator robots have been commercialized, robots that can be used by individuals in their daily life have begun to appear. With the development of robots that support daily life, the interaction between robots and humans is becoming more important. Manipulator robots that support daily life must perform tasks such as pressing buttons or picking up objects safely. In many cases, this requires expensive multi-axis force/torque sensors to measure the interaction. In this study, we introduce a low-cost two-axis pressure sensor that can be applied to manipulators for education or research. The proposed system used three force sensitive resistor (FSR) sensors and the structure was fabricated by 3D printing. An experimental device using a load cell was constructed to measure the biaxial pressure. The manufactured prototype was able to distinguish the +-x-axis and the +-y-axis pressures.

• 로봇학회논문지
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• 제18권1호
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• pp.122-126
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• 2023

An unexpected occlusion in a real life, not in a laboratory, can be more fatal to neural networks than expected. In addition, it is virtually impossible to create a network that learns all the environmental changes as well as occlusions. Therefore, we propose an alternative approach in which the architecture and number of parameters remain unchanged while adapting to occlusion circumstances. Learning method with the term Conversion Learning classifies them more robustly by converting the weights from various occlusion situations. The experiments on MNIST dataset showed a 3.07 [%p] performance improvement over the baseline CNN model in a situation where most objects are occluded and unknowing what occlusion will appear in advance. The experimental results suggest that Conversion Learning is an efficient method to respond to environmental changes such as occluded images.

• 급식외식위생학회지
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• 제4권2호
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• pp.42-47
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• 2023

The FoodTech industry has been developed with the rise of start-up by using AI, big data, robotics, biotechnology. In addition, sustainable development is more important with the trend of population growth, aging, and climate change. We investigated the impact of FoodTech on the foodservice industry with the cases of the global and domestic companies. The technology of AI, IoT, blockchain, robotics, automation systems are widely used to improve food safety and hygiene while as the use of diagnostic biomarkers such as blood or DNA, digital platform and app, and AI-based solutions are used in the field of personalized nutrition. With the expand of FoodTech in foodservice industry, the competencies that the managers need to develop include understanding technology, resource management, self-development, work ethics, problem-solving, and communication, therefore the support of the related education and training is required.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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• pp.477-482
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• 1994

As the need for switchover to FA and for rationalization increases in the industrial world, educational courses in schools are more and more taking up the subjects of electronic machines, mechatronics and systems, etc., subjects which are a fusion of the previous subjects of electricity, electronics and machines. At our junior college, a control engineering course was inaugurated in 1974 prior to any other schools that offered such courses. As automation progressed, the use of industrial robots spread rapidly. The year of 1980 is regarded as the first year that the use of industrial robots become widespread. Responding to the current requests, a one-year research course was added to the control engineering course in 1983. Moreover, a robot engineering course was newly established in 1984, in which mechatronics and industrial robotics were instructed intensively in high efficiency. As a teaching aid, an air robot system which was based particularly on the FMS model and possessed pattern recognition capabilities was completed in 1982. This system has been used since then as the nucleus for hands-on training with robots and systems. As more and more intelligent machines and artificial intelligence become widespread in industry, these subjects are taking on greater importance and greater sophistication in the education offered by this department. Educational institutions are seeking to provide facilities and curricula which will meet the technological needs of this age. Our college is not an institution at the graduate school level, but rather a school which is at the more practical junior college level. An outline of the facilities introduced at our school is presented and the results of utilizing it in industrial robot engineering education is reported.

• 제어로봇시스템학회논문지
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• 제20권7호
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• pp.706-712
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• 2014

The inverters used to drive Brushless DC motors (BLDC) include switching devices such as FETs and the faults in FETs cause severe performance degradation in systems where a BLDC acts as actuator. This paper presents a fault detection and isolation method for the FETs of an inverter for BLDC motor control systems, which is based on the EKF (Extended Kalman filter). Firstly, an equivalent circuit model for a BLDC motor plus its inverter system was derived. Secondly, a state-space equation was established, where the on-resistance of the FETs is expressed as a state variable and the EKF equation estimates the on-resistance. If the estimated resistance differs greatly from the known value, it can be asserted that there is a fault on that FET. Thirdly, the local convergence of the established EKF was proved. Finally, through the experiments, the performance of the proposed method was verified. The results show that the on-resistance is estimated close to the value specified in the FET data sheet in normal operation, whereas the estimated resistance is a much larger value than the normal one in case an FET fault occurs. Therefore, it is confirmed that the proposed fault detection and isolation method works appropriately in real systems.

• 대한기계학회논문집 C: 기술과 교육
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• 제5권2호
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• pp.89-95
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• 2017

제품을 개발하는데 있어서 경량화와 원가절감이라는 두가지 요소는 가장 중요한 화두이다. 특히 대형 LCD 로봇은 최대 $3{\times}3m$ 이상의 글라스를 7m 높이까지 상하, 전후로의 직선운동과 선회축을 중심으로한 회전운동을 하면서 작업공정간 이송을 가능케 하는 대형 구조물이다. 따라서 지나치게 무거울 경우에는 클린룸내 설치에 문제가 있을 수 있고 반송물의 정확한 이송을 위하여는 고강성이 요구되며 대량 생산을 위한 연속작업을 충분히 감당할 수 있는 내구강도를 확보하여야 한다. 따라서 경량화, 고강성, 고강도 제품에 대한 요구는 갈수록 증가하고 있다. 현재 개발되고 있는 11 세대 대형 LCD 승강프레임은 이러한 요구조건을 충족하기 위하여 최적설계 기법을 적용하여 기존 제품 대비 경량화와 고강성 요구조건을 만족하였으며 용접부에 대한 상세 수명평가로 내구강도에 대한 신뢰성을 확보하였다.

• Transactions on Control, Automation and Systems Engineering
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• 제2권3호
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• pp.157-162
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• 2000

The inverted pendulum is a typical example of unstable systems and has been used for verification of designed control systems. It is also very popular in control education in laboratories, serving as a good example to show the utility of the state space approach to the controller design. This paper shows two kinds of experiment using inverted pendulum: one is the stabilization of a single spherical inverted pendulum by a plane manipulator using visual feedback, and the other is the state transfer control of a double pendulum. In the former experiment, the feedback stabilization using a CCD camera has major importance as an example of controller implementation with non-contact measurement. The latter involves the standard stabilizing regulation method and nonlinear control techniques. The details of the experimental systems, the control algorithms and the experimental results will be given.

• International journal of advanced smart convergence
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• 제9권2호
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• pp.28-37
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• 2020

We conducted a comprehensive review on the previous research on r-Learning. By reviewing 843 previous studies about r-Learning published from 2004 to 2015, this study investigated 1) the trend of research on r-Learning over time, 2) the characteristics of targeted students in r-Learning, 3) the educational activities implemented for r-Learning, and 4) the types of educational robots used for r-Learning. The study found that the research on r-Learning has rapidly and steadily increased and the types of educational activities and educational robots has been diversified. Relying on the findings of this review, this study suggests 1) ensuring growth in both the quality and the quantity of research on r-Learning, 2) broadening the target student population of r-Learning beyond the age-limited boundaries, 3) enhancing educational activities of r-Learning, and 4) recognizing the necessity for systematic and clear concepts of types of educational robots.