• Journal of the Korean Society for Precision Engineering
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• v.29 no.9
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• pp.986-994
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• 2012

This paper is concerned with the application of the vision control algorithm with weighting matrix in robot point placement task. The proposed vision control algorithm involves four models, which are the robot kinematic model, vision system model, the parameter estimation scheme and robot joint angle estimation scheme. This proposed algorithm is to make the robot move actively, even if relative position between camera and robot, and camera's focal length are unknown. The parameter estimation scheme and joint angle estimation scheme in this proposed algorithm have form of nonlinear equation. In particular, the joint angle estimation model includes several restrictive conditions. For this study, the weighting matrix which gave various weighting near the target was applied to the parameter estimation scheme. Then, this study is to investigate how this change of the weighting matrix will affect the presented vision control algorithm. Finally, the effect of the weighting matrix of robot vision control algorithm is demonstrated experimentally by performing the robot point placement.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.17 no.5
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• pp.161-172
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• 2018

This paper proposed the robot vision control method to track a moving rigid body target using the vision system model that can actively control camera parameters even if the relative position between the camera and the robot and the focal length and posture of the camera change. The proposed robotic vision control scheme uses a batch method that uses all the vision data acquired from each moving point of the robot. To process all acquired data, this robot vision control scheme is divided into two cases. One is to give an equal weight for all acquired data, the other is to give weighting for the recent data acquired near the target. Finally, using the two proposed robot vision control schemes, experiments were performed to estimate the positions of a moving rigid body target whose spatial positions are unknown but only the vision data values are known. The efficiency of each control scheme is evaluated by comparing the accuracy through the experimental results of each control scheme.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.37 no.4
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• pp.11-21
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• 2000

This paper proposes a new algorithm for a mobile robot that detects and tracks a moving target, keeping it in the view range of the robot. The sensor system consists of a camera and a line light source. The camera system is placed so that the line light projected into the ground from the light source forms its image along the horizontal center line of the CCD array of the camera. The deformation of the line image from the horizontal center line contains the information on existence of a moving object, its velocity, and position. Since the proposed algorithm reduces the region of the image to be searched, it reduces the computational complexity significantly comparing to the conventional image processing algorithms. The performance of the proposed algorithm has been tested by implementing on a mobile robot.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.10
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• pp.134-142
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• 2009

In this paper, we proposed the right-angle stereo vision system to measure the object size using a human eyesight-like, and the system is reconstructed with conventional stereo vision system. In this proposed system, the size results of objects are measured very close to the real object size, and we got the ratios 93~103[%] for the real object sizes. Therefore, the suggested right-angle stereo vision system have a high possibilities to be applied to many industrial system parts and to be used for robot system, automatic system, and etc.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2444-2446
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• 2004

로봇 매니퓰레이터를 제어하기 위해서는 로봇의 Forward/Reverse Kinematics를 정확히 알아야 하고, 이를 바탕으로 각 목적에 맞는 로봇 매니퓰레이터의 설계가 이루어진다. 만약 이 매니퓰레이터에 카메라가 장치되어 어떤 물체를 추적해야 한다면, 매니퓰레이터의 Kinematics와 카메라의 컨트롤이 적절하게 조합되어 물체 추적을 행하게 된다. 본 논문에서는 Particle Filter의 큰 주류인 SISR 방법을 소개하고, 이 방법을 화상카메라에 적용하여 움직이는 물체를 추적하는 연구를 수행하려한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.593-595
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• 2019

원격지의 로봇을 조작함에 있어, 원격지의 상황을 정확히 인식하는 것이 우선적으로 필요하다. 본 연구에서는 로봇에 설치된 스테레오 카메라를 통해 입력된 비디오를 네트워크를 통해 전달하고, 조작 공간에 있는 사용자가 Head Mounted Display(HMD) 기기를 통해 원격지의 상황을 현장감 있게 파악할 수 있는 비전 시스템을 구현했다. 로봇 내 S/W의 효과적인 통합을 위해 카메라 입력 처리 및 비디오 스트리밍은 Ubuntu의 ROS를 이용하여 구현됐으며, 조작 공간의 HMD 기기 및 관련 조작 센서 통합은 Windows 상에 구현하여, 실험을 통해 원격지의 상황을 25fps 수준의 HD 해상도 비디오로 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.1433-1436
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• 2005

임베디드 시스템의 발전으로 현재 진보된 로봇 시스템들은 운영 체제, 비젼 시스템 및 센서 시스템들을 별도의 호스트 PC의 도움 없이 독립적으로 탑재하여 가동 시킬 수 있다. 본 논문에서는 임베디드 시스템을 이용한 SBER (Small Biped Entertainment Robot)에 필요한 로봇의 제어기 구조와 로봇에 최적화된 임베디드 시스템을 구현한다. 또한 주 프로세서와 주 컨트롤러를 탑재한 최적화된 소형 엔터테인먼트 이족 로봇 개발을 목적으로 한다. SBER은 TI사의 DSP인 TMS320LF2407A를 로봇의 주 컨트롤러로 사용하여 로봇의 관절 제어를 통한 기본적인 보행 실험과 음원의 위치를 파악하기 위한 음원 위치 추적 문제를(Sound Localization) 수행한다. 또한 Intel사의 PXA255A를 주 프로세서로 사용하여 연산량이 높은 영상처리 알고리즘과 감정 표현, 장애물 인식 및 장애물 회피를 적용하여 보다 지능적인 로봇 시스템을 구현한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.466-469
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• 2002

Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process is one of manufacturing processes that have net been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/corner finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm for corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.

• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.73-75
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• 2009

본 논문은 영상 처리에 의해 광학렌즈의 먼지 및 이물질의 유무를 검출하기 위한 방법을 제안한다. 현재 사용되고 있는 비접촉 검사용 비젼 시스템은 마스크 기법을 활용하여 기준 영상에 비해 어느 정도의 잡음이 있는지를 검사한다. 그러나 조명의 정도, 반사 및 이물질의 유형에 따라 검출하기가 어렵다. 이를 해결하기 위해 파란색 LED 광원을 수평축에 설치하여 양각 부분의 에지들을 더욱 강조하는 시스템을 구현하였다. 이물질 검출은 간단한 소벨 에지 마스크를 사용하고 이물질의 크기에 따라 먼지 및 이물질에 대한 판단을 결정하였다. 크기 및 색상이 틀린 렌즈를 사용하여 실험한 결과 일반 영상에서 검출한 것보다 파란색 LED 광원과 영상처리에 의해 잡음 및 이물질을 강건하게 검출하여 렌즈의 자동 검사용 로봇 비젼 시스템에 적용이 가능하다.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.20 no.4
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• pp.386-394
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• 2011

This paper is concerned with the application of the vision control scheme for robot's point placement task in discontinuous trajectory caused by obstacle. The proposed vision control scheme consists of four models, which are the robot's kinematic model, vision system model, 6-parameters estimation model, and robot's joint angles estimation model. For this study, the discontinuous trajectory by obstacle is divided into two obstacle regions. Each obstacle region consists of 3 cases, according to the variation of number of cameras that can not acquire the vision data. Then, the effects of number of cameras on the proposed robot's vision control scheme are investigated in each obstacle region. Finally, the practicality of the proposed robot's vision control scheme is demonstrated experimentally by performing the robot's point placement task in discontinuous trajectory by obstacle.