• 한국산업융합학회 논문집
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• 제18권1호
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• pp.37-44
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• 2015

In the research, we developed a device for cooling the drive section of the gripper of a robot for handling the high temperature material. In this study, By using a Peltier element, the high-temperature material is not affected and driving cylinder is cooled to prevent damage due to high temperatures. Hot part of the Peltier element is towards the robot gripper. Cool part of the Peltier element is towards the driving cylinder. The heat sink portion is made to keep the cooling effect. As the performance result, cooling-test is taken, and their result is satisfy.

• 한국정밀공학회지
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• 제15권11호
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• pp.100-107
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• 1998

This paper presents the development of estimation model and control method based on the new robot vision. This proposed control method is accomplished using the sequential estimation scheme that permits placement of the rigid body in each of the two-dimensional image planes of monitoring cameras. Estimation model with six parameters is developed based on the model that generalizes known 4-axis scara robot kinematics to accommodate unknown relative camera position and orientation, etc. Based on the estimated parameters, depending on each camera the joint angle of robot is estimated by the iteration method. The method is experimentally tested in two ways, the estimation model test and a three-dimensional rigid body placement task. Three results show that control scheme used is precise and robust. This feature can open the door to a range of application of multi-axis robot such as assembly and welding.

• 생물환경조절학회지
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• 제6권1호
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• pp.55-65
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• 1997

본 연구는 육묘용 로봇 이식기를 개발하기 위한 목적으로 수행되었으며 그 결과는 다음과 같다. 1. 기계시각에 의한 결주 및 불량묘 판별은 72공 플러그묘판의 경우 98.8%, 128공의 플러그묘판의 경우 94.9%, 잎의 방향을 고려한 경우 72공의 플러그묘판의 경우 93.5%, 128공의 경우 91.0%의 정확도를 나타내었다. 2. 로봇 이식기의 기구부와 구동부를 개발하였고, 이를 제어하기 위한 제어기를 개발하였으며, 머니플레이터의 위치제어 정확도는 $\pm$ 1mm로 나타났다. 3. 잎의 방향을 고려하지 않은 이식방법에서의 이식성공률은 72공 플러그묘판의 경우 95.5%, 128공의 플러그묘판의 경우 94.5%로 나타났으며, 잎의 방향을 고려한 이식방법에서의 이식성공률은 72공의 경우 96.0%, 128공의 경우 95.0%로 나타났다.

• 한국산업융합학회 논문집
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• 제20권4호
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• pp.299-305
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• 2017

This study proposes a new technique to design and control of robot hand gripper for assembling and disassembling of a machine parts. The motion equation describing dynamics of the manipulators and object together with geometric constraint is formulated by Lagrange-Euler's equation. And the problems of controlling both the grasping force and the rotation angle of the grasped object under the constraints are analyzed. The effect of geometric constraints and a method of computer simulation for overall system is verified. Finally, it is illustrated that even in case of there exists a sensory feedback from sensing data of the rotational angle of the object to command inputs control of joint and this feedback connection from sensing data to control grasping of machinery parts.

• 한국컴퓨터산업학회논문지
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• 제4권10호
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• pp.643-654
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• 2003

택타일 영상을 사용하여 로봇 그리퍼 내부 작업 물체의 미끄럼 및 회전을 감지하는 기법을 제안해 본다. 기존에 제안된 모우멘트 불변량 사용방법의 경우 택셀 수 변화가 발생하는 경우 적용 할 수 없는 단점을 가지고 있다. 에지 ＆ 라인 불변량 특성을 이용한 경우 기본적으로 특정수 이상의 택셀을 가지고 있어야 하므로 택셀수가 적은 경우 적용 할 수 없다. 이 같은 문제점을 해결하기 위하여 택셀 영상을 분석하고 적용기법 결정인자를 추출한다. 이를 이용하여 필터링 문턱값을 설정하여 택타일 영상을 필터링하고, 결정인자에 따라 모우멘트 불변량 사용방법과 에지 ＆ 라인 불변량 사용 방법 중 적합한 기법을 채택하는 새로운 방법을 제안한다 컴퓨터 모의 실험과 하드웨어 실험에 적용한 결과 개선된 이동 및 회전 등 움직임 감지가 가능하였다.

• 한국생산제조학회지
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• 제25권6호
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• pp.522-531
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• 2016

In this study, we propose an object identification method for bin-picking developed for industrial robots. We identify the grasp posture and the associated geometric parameters of grasp objects using the joint data of a robotic gripper. Prior to grasp identification, we analyze the grasping motion in a low-dimensional space using principle component analysis (PCA) to reduce the dimensions. We collected the joint data from a human hand to demonstrate the grasp-identification algorithm. For data acquisition of the human grasp data, we conducted additional research on the motion characteristics of a human hand. We explain the method for using the algorithm of grasp identification for bin-picking. Finally, we present a subject for future research using our proposed algorithm of grasp model and identification.

• 한국산업융합학회 논문집
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• 제19권2호
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• pp.88-94
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• 2016

In this paper, we describe a new approch to control method of a four joints-robot gripper for the purpose of parts assemblying. The robot gripper is specifically modeled by using a 3D CAD program (ANSYS), considering artificial grippers, and then the proposed control method is illustrated through the dynamic simulation tool (Adams). Each gripper finger is individually controlled to be located at the optimal positions where the maximal joint torque can be calculated. To verified the effectiveness of the proposed control method, we proposed two cases for the reference position of gripper. By comparing the control performance of two method, the performance of the proposed control method was verified.