• 한국항행학회논문지
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• 제27권1호
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• pp.139-145
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• 2023

의사가 병원에서 환자를 진찰할 때 의사는 환자의 상태를 직접 확인하고 환자와의 대화를 통해 대면 진단을 한다. 그러나 의사가 환자를 직접 진료하기 어려운 경우가 많다. 최근에는 여러 유형의 원격 의료 시스템이 개발되었다. 그러나 현존하는 많은 시스템이 심장질환, 목상태, 피부상태, 귀의 내부상태 등을 관찰할 수 있는 능력이 부족하다. 이러한 문제를 해결하기 위하여 본 논문에서는 환자의 육안 검사와 청진이 가능하도록 실내에서 자율주행이 가능한 대화형 원격진료 로봇 시스템을 개발한다. 개발된 로봇은 WebRTC 플랫폼을 통해 원격 제어가 가능하도록 다관절 로봇팔을 이용해 의사의 관찰 하에 환자에게 다가가 환자의 상태를 확인할 수 있다. 환자로부터 원격으로 얻은 영상 정보, 음성 정보, 환자의 심음 및 기타 데이터를 WebRTC 플랫폼을 통해 의사에게 전송할 수 있다. 개발된 시스템은 의사가 참석할 수 없는 다양한 장소에 적용이 가능하다.

• 반도체디스플레이기술학회지
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• 제21권4호
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• pp.65-70
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• 2022

In manufacturing and semiconductor industries, transfer robots increase productivity through accurate and continuous work. Due to the nature of the semiconductor process, there are environments where humans cannot intervene to maintain internal temperature and humidity in a clean room. So, transport robots take responsibility over humans. In such an environment where the manpower of the process is cutting down, the lack of maintenance and management technology of the machine may adversely affect the production, and that's why it is necessary to develop a technology for the machine failure diagnosis system. Therefore, this paper tries to identify various causes of failure of transport robots that are widely used in semiconductor automation, and the Prognostics and Health Management (PHM) method is considered for determining and predicting the process of failures. The robot mainly fails in the driving unit due to long-term repetitive motion, and the core components of the driving unit are motors and gear reducer. A simulation drive unit was manufactured and tested around this component and then applied to 6-axis vertical multi-joint robots used in actual industrial sites. Vibration data was collected for each cause of failure of the robot, and then the collected data was processed through signal processing and frequency analysis. The processed data can determine the fault of the robot by utilizing machine learning algorithms such as SVM (Support Vector Machine) and KNN (K-Nearest Neighbor). As a result, the PHM environment was built based on machine learning algorithms using SVM and KNN, confirming that failure prediction was partially possible.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.939-944
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• 2007

Generally, development of a robot capable of fast movements or high payloads is progressed by the analysis of dynamic characteristics, DOF positioning, actuator selection, structure of links, and so on. This paper highlights the design of a robot manipulator handled by a human for man-machine cooperation. The requirements of the proposed system include its having multi-DOF(Degree of Freedom)and the capacity for a high payload in the condition of its maximum reach. The primary investigation factors are motion range, performance within the motion area, and reliabilityduring the handling of heavy materials. Traditionally, the mechanical design of robots has been viewed as a problem of packaging motors and electronics into a reasonable structure. This process usually transpires with heavy reliance of designerexperience. Not surprisingly, the traditional design process contains no formally defined rules for achieving desirable results, as there is little opportunity for quantitative feedback during the formative stages. This work primarily focuses on the selection of proper joint types and link lengths, considering a specific task type and motion requirements of the heavy material handling.

• Journal of Welding and Joining
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• 제33권3호
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• pp.12-18
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• 2015

The ultimate goal of developing body is revealed the "lightweight" at latest EuroCarBody conference 2012 and the most core technology is joining process to make lightweight car body design. Accordingly, in this study, the car body assembly line for the assembly process applies to any introduction, particularly in the assembly of aluminum alloy and composite materials applied by the process for the introductory approached. Process were largely classified by welding (laser, arc, resistance, and friction stir welding), bonding (epoxy bonding) and mechanical fastening (FDS, SPR, Bolting and clinching). Applications for each process issues in the case and the applicable award was presented, based on the absolute strength of the test specimens and joining characteristics for comparative analysis were summarized. Finally, through this paper, we would tried to establish the characteristics of the joint for lightweight structure.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 하계종합학술대회 논문집
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• pp.679-684
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• 1989

In this paper, we describe the PTP notion of robot manipulators by neural networks. The PTP motion requires the inverse kinematic redline and the joint trajectory generation algorithm. We use the multi-layered Perceptron neural networks and the Error Back Propagation(EBP) learning rule for inverse kinematic problems. Varying the number of hidden layers and the neurons of each hidden layer, we investigate the performance of the neural networks. Increasing the number of learning sweeps, we also discuss the performance of the neural networks. We propose a method for solving the inverse kinematic problems by adding the error compensation neural networks(ECNN). And, we implement the neural networks proposed by Grossberg et al. for automatic trajectory generation and discuss the problems in detail. Applying the neural networks to the current trajectory generation problems, we can refute the computation time for trajectory generation.

• 대한기계학회논문집B
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• 제41권8호
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• pp.505-510
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• 2017

본 논문에서는 다양한 견관절 장애 증상에 적용할 수 있는 보급형 상지 재활 로봇의 설계를 다룬다. 견관절의 회전에 수반되는 관절 중심의 위치변화를 추종하고, 사용자의 상지와 장치의 무게를 상쇄하는 3자유도 견관절 추종 및 중력보상 메커니즘을 구현하였다. 다양한 방향의 어깨 재활 동작을 구현할 수 있도록 구동축의 방향을 변환하는 메커니즘을 설계하여, 견관절에 대한 구동기의 상대적인 오리엔테이션을 변화시킴으로써 대표적인 5가지 견관절 동작을 수행할 수 있었다. 동시에 재활 운동 중의 견관절의 위치 변화를 추종하여 자연스러운 견관절 운동을 구현할 수 있었다. 최소의 구동기를 사용하는 보급형 로봇으로도 다양한 견관절 질환에 효과적으로 대응할 수 있음을 확인하였다.

• 한국정밀공학회지
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• 제5권3호
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• pp.20-30
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• 1988

Using the design parameters of multi-joint manipulator, worspace of the manipulator were evaluated analytically, and the relation between such design parameters and nonlinearity of the manipulator were presented dynamically. The ratio of the volumes of a manipulator's workspace to the cube of its total link length presents a kinematic performance index [NVI] for the manipullator. It is possible to geometrically represent the manipulator dynamics with the generalized inertia ellipsoid (GIE). The relation between the GIE configuration and the characteristics of manipulator dynamics was analysed in terms of inertia and nonlinear forces (Coliolis and centrifugal forces). The nonlinearity caused by the change of the GIE configuration were affected by the difference between the major and minor axes length of the GIE. The results of this investigationare applied to the optimal design of the manipulator.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.1022-1027
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• 1991

A new method to control a robot manipulator by neural networks is proposed. The controller is composed of both a PD controller and a neural network-based feedforward controller. MLP(multi-layer perceptron) neural network is used for the feedforward controller and trained by BP(back-propagation) learning rule. Error terms for BP learning rule are composed of the outputs of a PD controller and the acceleration errors of manipulator joints. We compare the proposed method with existing ones and contrast performances of them by simulation. Also, We discuss the real application of the proposed method in consideration of the learning time of the neural network and the time required for sensing the joint acceleration.

• 유공압시스템학회:학술대회논문집
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• 유공압시스템학회 2010년도 춘계학술대회
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• pp.62-65
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• 2010

Field robot represented by excavator can be applied for various working in manufacturing, construction, agriculture etc. Because of the flexibility of its multi-joint mechanism and the high power of hydraulic actuators. Since the excavator operates in the hazardous working circumstance, operators exposed in harmful environment. Therefore, automation system has been investigated to protect from the harmful environment. In this paper, the method to construct the remote control system is proposed. The remote control system is consisted of a manual and auto mode. Manual mode controls a hydraulic cylinder as open loop control. and auto mode controls the end effecter of excavator using tracking control system. The efficiency of remote control system was evaluated through the field test.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2008년도 추계학술발표대회
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• pp.593-596
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• 2008

로봇 산업은 계속 성장 하고 있으나 개발 인력은 부족한 현실이다. 그래서 정부나 기업은 로봇 개발인력을 양성하기 위한 프로그램을 활성화 하고 있다. 다양한 환경에 적용할 수 있는 장점 때문에 다관절로봇은 실제 산업에서 활용도가 높다. 또한 다관절 로봇은 다양한 동작 응용으로 창의력과 응용력을 키울 수 있어 교육에 적합하다. 그러나 다관절 로봇은 많은 수의 모터를 동시에 제어해야 하기 때문에 전문적인 지식이 없을 경우 개발하기 어렵다. 다관절로봇을 교육에 응용하기 위해서는 누구나 쉽게 이용할 수 있는 제어 방법을 제공해야 한다. 본 논문에서는 다관절 로봇의 효율적인 동작제어를 위한 기술을 구현하여 피교육자가 로봇을 쉽고 빠르게 개발할 수 있었다. 적용사례로 18개의 모터가 사용되는 6족로봇에 제안한 방법을 사용하여 동작 개발과정을 보여주었다.