• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.2
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• pp.425-431
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• 2012

In the case of outdoor moving of robot, it is differ to indoor moving case due to it cannot prepare map early for entire outdoor environments, there is nearly no research based on map because most outdoor robots use GPS. In this paper, we implement outdoor robot localization that using precision GPS and then GPS data applying MCL algorithm in outdoor environments of plane of 2 dimensional without incline section. We also perform a simple mission scenario by using applied robot localization in outdoor robot. We applying OpenRTM based on middleware, we can be controlled and grasped situation of the outdoor robot by remote through server by manager.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.1 s.94
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• pp.200-209
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• 1999

This paper presents a precise tracking control scheme for the proposed parallel robot using artificial neural network. This control scheme is composed of three feedback controllers and one feedforward controller. Conventional PD controller and artificial neural network are used as feedback and feedforward controller respectively. A backpropagation learning strategy is applied to the training of artificial neural network, and PD controller outputs are used as target outputs. The PD controllers are designed at the robot dynamics based on inter-relationship between active joints and moving platform. Feedback controllers insure the total stability of system, and feedforward controller generates the control signal for trajectory tracking. The precise tracking performance of proposed control scheme is proved by computer simulation.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.95-99
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• 1992

본 논문은 삼차원 거리영상화 장비중 고속으로 거리영상을 잡을 수 있는 거리영상화 소자를 IC로 시험 제작하여 그 결과를 보였다. 제작된 IC에 대한 실험은 각 부분의 성능과 센서 자체의 정밀도 측정에 중점을 두었다. 각 부분의 성능에 대해서는 빛 감지부분의 신호의 크기, 소자들의 동작성, 정보 저장부분의 입력 전압에 대한 출력 전압의 변형등을 다룬다. 센서 자체의 정밀도는 각 부분에서 발생하는 오차를 측정하였다. 제작된 센서는 아나로그방식으로 정밀도에 제한을 받는 단점이 있어 구조를 달리하여 디지탈 방식으로 접근한 센서를 제안한다. 아나로그 방식에 비해 셀 면적을 줄일 수 있을 뿐 아니라, 정밀도도 높고, 속도도 떨어지지 않아 아나로그 방식 IC 센서의 단점을 극복한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.309-310
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• 2013

• Journal of the Korean Society for Precision Engineering
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• v.18 no.7
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• pp.9-18
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• 2001

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.418-421
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• 2004

This research is that analysis multi-body system that have flexibility. We composed system consisted of crane, part of traveling and robot. And we analyzed the aspect of vibration when this system runs using ADAMS. Through this research we can analyze vibration and displacement of end-effect part of the large size robot. And this research can became reference that is going to analyze resemblant dynamic system.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1991.11a
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• pp.139-145
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• 1991

본 논문에서는 chamfer가 없는 경우에도 조립이 가능한 로봇 조립용 손목기구를 개발하였다. 손목기구에서는 chamfer있는 경우에 우수란 적응능력을 가지는 RCC(Remote Center Compliance) 구조가 이용되었으며 위치측정용 sensor와 공압 actuator를 이용하여 조립시 생기는 RCC 구조의 변형을 측정하여 이로부터 능동적으로 오차를 교정하도록 하였다. sensor signal로부터 적절한 오차교정방향을 찾아내는 algorithm 으로는 신경회로망을 이용하였으며 이 결과 손목기구의 비선형성에도 잘 적응함을 볼 수 있었다. 제작된 로봇 조립용 손목을 이용하여 chamferless part의 조립을 실험한 결과 clearance ratio가 0.02인 경우 eccentricity가 2mm 까지 오차교정이 가능함을 볼 수 있었다.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.9
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• pp.45-52
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• 2008

As multiple functions arc required in a robot controller, RTOS(Real Time Operating System) should be adopted to manage complex situations, such as choosing most urgent task among competing ones. In this paper, we implemented RTAI(Real Time Application Interface) based robot controller for wafer handling robots including graphic simulator. We showed how multiple tasks are organized and also explained in detail about task priorities and execution periods. Finally, we presented simulation results.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.3
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• pp.90-101
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• 2000

In this paper, we propose a controller for differentially steered wheeled mobile robots. The controller uses input-output linearization algorithm and artificial neural network to stabilize the dynamic model and compensate uncertainties. The proposed neural network part has 6 inputs, 1 hidden layer, 2 torque outputs and features fast online learning and good performance on structure error learning basis. Simulation results show that the proposed controller perform precisely tracking of reference path and is robust to uncertainties.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.259-262
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• 2001

An improved robust hybrid control law is proposed. This law used the separated bounding function and the stiffness bound. It satisfied the performance though we don't know precise information of contact environments. It guarantees the practical stability in sense of Lyapunov. Simulation was performed to validate this law using a four-axis SCARA type robot manipulator.