• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.366-367
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• 2019

산업기술의 정밀화, 자동화가 진행됨에 따라 로봇 산업이 발달하게 되고, 로봇에 주로 사용하는 DC 모터 제어의 성능이 더욱 중요해지고 있다. 로봇에 적용되는 소용량 DC 모터의 경우, 전기자 권선의 인덕턴스가 작고 조항이 상대적으로 크다. 저항이 상대적으로 큰 DC 모터의 경우 저항에 흐르는 전류에 의한 전압 강하 성분이 속도에 비례하는 역기전력(Back-EMF)에 비해 무시할 수 없고, PWM 전압에 의한 전류맥동이 커서 평균전류 샘플링이 어렵다. 본 논문에서는 DC 모터의 전기적 모델을 기반으로 속도 제어기의 출력 전압을 결정하는 방법을 제안하였다. 핸드 로봇에 제안된 방법을 적용하여 속도 제어기의 특성을 확인하였다.

• Proceedings of The KACE
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• 2017.08a
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• pp.197-199
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• 2017

재난 상황이나 우주 공간과 같은 환경에서는 인간이 직접 작업을 수행하기가 매우 어렵다. 따라서 이러한 환경에서 인명 구조나 탐사 등을 진행할 때에는 원격으로 제어가능한 로봇을 활용하는 것이 효과적이다. 특히 이 로봇이 인간의 움직임을 실시간으로 모방한다면 직관적이고 순발력 있는 제어가 가능해진다. 본 연구에서는 키넥트 센서를 이용해 인간의 움직임을 인식하고 이 움직임을 모방하는 로봇핸드와 로봇암을 구현하였다. 하드웨어는 TETRIX와 EV3 플랫폼을 이용하여 설계하였고, 소프트웨어는 C# 기반의 KINECT for Windows SDK와 Visual Studio 2015로 구현하였다. 본 연구에서 구현한 시스템은 재난 현장에서의 인명 구조, 복구 상황에서와 우주 공간에서의 탐사 상황에서 유용하게 사용될 수 있을 것이다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.143-150
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• 2014

In this paper, we propose the delivery problem on trees and two algorithms for the problem. The delivery problem on trees is that of minimizing the object delivery time from one node to another node using n various speed robots. Our first algorithm generates an optimal solution with some restrictions in handover places. In this algorithm, we assume that the handover can be made at a vertex of given tree. We try to find the handover places and the robots participate in handover from the start node to the destination node. The second algorithm extends the first one to remove the restriction about the handover places. The second algorithm still generates an optimal solution. The time complexities of both algorithms are $O((n+m)^2)$ where n is the number of robots and m is the number of nodes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5219-5226
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• 2011

A specialized anthropomorphic robot manipulator which can be attached to the housemaid robot McBot II, is developed In this paper. This built-in type manipulator consists of both arms with 3 DOF (Degree of Freedom) each and both hands with 3 DOF each. The robotic arm is optimally designed to satisfy both the minimum mechanical size and the maximum workspace. Minimum mass and length are required for the built-in cooperated-arms system. But that makes the workspace so small. This paper proposes optimal design method to overcome the problem by using neck joint to move the arms horizontally forward/backward and waist joint to move them vertically up/down. The robotic hand, which has two fingers and a thumb, is also optimally designed in task-based concept. Finally, the good performance of the developed manipulator is confirmed through live test of tasks.

• Journal of Biosystems Engineering
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• v.22 no.4
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• pp.411-420
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• 1997

The mechanization efficiency using high ability machines such as tractors or combines in a paddy field rice farm is high. Mechanization in harvesting fruits and vegetables is difficult, because they are easy to be damaged. Therefore, Advanced techniques for careful handling fruits and vegetables are necessary in automation and robotization. An apple harvesting robot must have a recognition device to detect the positioning of fruit, manipulators which function like human arms, and hand to take off the fruit. This study is related to the development of a rotatic hand as the first stage in developing the apple harvesting robot. The results are summarized as follows. 1. It was found that a hand that was eccentric in rotatory motion, was better than a hand of semicircular up-and-down motion in harvesting efficiency. 2. The hand was developed to control changes in grasp forces by using tape-type switch sensor which was attatched to fingers' inside. 3. Initial finger positioning was set up to control accurate harvesting by using a tow step fingering position. 4. This study showed the possibility of apple harvesting using the developed robot hand.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5440-5445
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• 2014

Many studies have examined robot control using human bio signals but complicated signal processing and expensive hardware are necessary. This study proposes a method to recognize a human's hand motion using a low-cost EMG sensor and Flex sensor. The method to classify movement of the hand and finger is determined from the change in output voltage measured through MCU. The analog reference voltage is determined to be 3.3V to increase the resolution of movement identification through experiment. The robotic hand is designed to realize the identified movement. The hand has four fingers and a wrist that are controlled using pneumatic cylinders and a DC servo motor, respectively. The results show that the proposed simple method can realize human hand motion in a remote environment using the fabricated robotic hand.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.389-392
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• 2006

원거리에서 로봇 핸드를 제어하는 일은 어려운 일이다. 이를 WWW 데이터를 이용 데이터의 불분명확한 점을 사용하여 데이터가 덜 명확한 점이 있더라도 이를 제어 시스템의 데이터로서 사용할 수 있는 점을 이용하여 원거리에서 데이터를 WWW를 이용하여 수신하고 이를 좀더 발전시켜 로봇 제어를 할 수 있겠끔 데이터의 유동성을 보장하는 계층적 분석 방법에 접목시켜 로봇 제어를 할 수 있겠끔 하였다. 불분명확한 제어 데이터를 사용하는 대신 계층적 알고리즘을 사용하여 이를 보완 할 수 있는 보완 시스템을 구성하였다라고 말할수 있다. 단순한 WWW데이터 만으로 제어가 되지 않는다는 것을 확인하고 이를 계층적 분석 방법에 사용하므로써 보강할수 있는 점을 확인하고 WWW데이터를 사용하지 않는 방법과도 결과를 비교 검토한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1232-1235
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• 2005

In recent years, as the robot technology is developed the researches on the artificial muscle actuator that enable robot to move dextrously like biological organ become active. The widely used materials for artificial muscle are the shape memory alloy and the electroactive polymer. These actuators have the higher energy density than the electromechanical actuator such as motor. However, there are some drawbacks for actuator. SMA has the hysterical dynamic characteristics. In this paper the segmented binary control for reducing the hysteresis of SMA is proposed and the simulation of anthropomorphic robotic hand is performed using ADAMS.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.144-149
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• 2005

In recent years, as the robot technology is developed the researches on the artificial muscle actuator that enable robot to move dextrously like biological organ become active. The widely used materials for artificial muscle are the shape memory alloy and the electroactive polymer. These actuators have the higher energy density than the electromechanical actuator such as motor. However, there are some drawbacks for actuator. SMA has the hysterical dynamic characteristics. In this paper the segmented binary control for reducing the hysteresis of SMA is proposed and the simulation of anthropomorphic robotic hand is performed using ADAMS.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.310-313
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• 2005

In recent years, as the robot technology is developed, the researches on the artificial muscle actuator that enable robot to move dexterously like biological organ become active. The widely used materials for artificial muscle are the shape memory alloy and the electro-active polymer. These actuators have the higher energy density than the electro-mechanical actuator such as motor. However, there are some drawbacks for actuator. SMA has the hysterical dynamic characteristics. In this paper, the simulation of anthropomophic robotic hand is performed using ADAMS and the segmented binary control for reducing the hysteresis of SMA is proposed. SMA is controlled by thermo-electric module. The relations between the force and the hysteresis are developed to verify the validity of the suggested method.