• 제목/요약/키워드: Image-guidance robot

검색결과 11건 처리시간 0.024초

패턴 인식에 의한 이동 로보트의 주행에 관한 연구 (A study on locomotion of a mobile robot by a pattern recognition)

  • 신중섭;정동명;장원석;홍승홍
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.79-82
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    • 1987
  • This paper describes the mobile robot system to recognize the guidance tape, and presents the locomotion algorithm. It is composed of image processing unit, A/ID converter and camera. This system converts video image to binary image by setting an optimal threshold and obtains the parameters to move the robot. The mobile robot moves according to the programmed route in memory. But after recognized the obstacle on the locomotion route, this system constructs the new route and the robot moves following the new route.

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논 잡초 방제용 자율주행 로봇을 위한 벼의 형태학적 특징 기반의 주행기준선 추출 (Guidance Line Extraction for Autonomous Weeding robot based-on Rice Morphology Characteristic in Wet Paddy)

  • 최근하;한상권;한상훈;박광호;김경수;김수현
    • 로봇학회논문지
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    • 제9권3호
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    • pp.147-153
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    • 2014
  • In this paper, we proposed a new algorithm of the guidance line extraction for autonomous weeding robot based on infrared vision sensor in wet paddy. It is the critical process for guidance line extraction which finds the central point or area of rice row. In order to improve accuracy of the guidance line, we are trying to use the morphological characteristics of rice that the direction of rice leaves have convergence to central area of rice row. Using Hough transform, we were represented the curved leaves as a combination of segmented straight lines on binary image that has been skeletonized and segmented object. A slope of the guidance line was gotten as calculate the average slope of all segmented lines. An initial point of the guidance line was determined that is the maximum pixel value of the accumulated white columns of a binary image which is rotated the slope of guidance line in the opposite direction. We also have verified an accuracy of the proposed algorithm by experiments in the real wet paddy.

비전 카메라 기반의 무논환경 자율주행 로봇을 위한 중심영역 추출 정보를 이용한 주행기준선 추출 알고리즘 (Guidance Line Extraction Algorithm using Central Region Data of Crop for Vision Camera based Autonomous Robot in Paddy Field)

  • 최근하;한상권;박광호;김경수;김수현
    • 로봇학회논문지
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    • 제11권1호
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    • pp.1-8
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    • 2016
  • In this paper, we propose a new algorithm of the guidance line extraction for autonomous agricultural robot based on vision camera in paddy field. It is the important process for guidance line extraction which finds the central point or area of rice row. We are trying to use the central region data of crop that the direction of rice leaves have convergence to central area of rice row in order to improve accuracy of the guidance line. The guidance line is extracted from the intersection points of extended virtual lines using the modified robust regression. The extended virtual lines are represented as the extended line from each segmented straight line created on the edges of the rice plants in the image using the Hough transform. We also have verified an accuracy of the proposed algorithm by experiments in the real wet paddy.

파이프 내부검사를 위한 이동로봇의 유도방법 (Guidance of Mobile Robot for Inspection of Pipe)

  • 정규원
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 춘계학술대회 논문집
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    • pp.480-485
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    • 2002
  • The purpose of this paper is the development of guidance algorithm for a mobile robot which is used to acquire the position and state information of the pipe defects such as crack, damage and through hole. The data used for the algorithm is the range data obtained by the range sensor which is based on an optical triangulation method. The sensor, which consists of a laser slit beam and a CCD camera, measures the 3D profile of the pipe's inner surface. After setting the range sensor on the robot, the robot is put into a pipe. While the camera and the LSB sensor part is rotated about the robot axis, a laser slit beam (LSB) is projected onto the inner surface of the pipe and a CCD camera captures the image. From the images the range data is obtained with respect to the sensor coordinate through a series of image processing and applying the sensor matrix. After the data is transformed into the robot coordinate, the position and orientation of the robot should be obtained in order to guide the robot. In addition, analyzing the data, 3D shape of the pipe is constructed and the numerical data for the defects of the pipe can be found. These data will be used for pipe maintenance and service.

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METRO - 레이저 거리계를 장착한 자율 이동로봇 (METRO - A Free Ranging Mobile Robot with a Laser Range Finder)

  • 차영엽;권대갑
    • 제어로봇시스템학회논문지
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    • 제2권3호
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    • pp.200-208
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    • 1996
  • This paper describes the mechanism, guidance, sensor system, and navigation algorithm of METRO, a free ranging mobile robot. METRO is designed for use in structured surroundings or factory environments rather than unstructured natural environments. An overview of the physical configuration of the mobile robot is presented as well as a description of its sensor system, an omnidirectional laser range finder. Except for the global path planning algorithm, a guidance and a navigation algorithm with a local path planning algorithm are used to navigate the mobile robot. In METRO the computer support is divided into a supervisor with image processing and local path planning and a slave with motor control. The free ranging mobile robot is self-controlled and all processing being performed on board.

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광학식 유도장치를 이용한 자율 무인잠수정의 수중 도킹 종단 유도 제어 (Terminal Guidance Control for Underwater-Docking of an AUV Using Visual Guidance Device)

  • 최동현;전봉환;박진영;이판묵;김상현;오준호
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2006년 창립20주년기념 정기학술대회 및 국제워크샵
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    • pp.335-338
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    • 2006
  • The more deeply the researches make progress in ocean researches including the seabed resource investigation or the oceanic ecosystem investigation, the more important the role of UUV gets. In case of study on the deep sea, there are difficulties in telecommunications between AUV and ships, and in data communication and recharging. Therefore, docking is required. In AUV docking system, the AUV should identify the position of docking and make contact with a certain point of docking device. MOERI (Maritime & Ocean Engineering Research Institute), KORDI has conducted the docking testing on AUV ISIMI in KORDI Ocean Engineering Water Tank. As AUV ISIMI approachs the docking device, it is presented that attitude is unstable, because the lights Which is on Image Frame are disappeared. So we fix the rudder and stem, if the lights on Image Frame are reaching the specific area in the Image Frame. In this paper, we intend to solve the problems that were found in the testing, which, first, will be identified via simulation.

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시각정보에 의한 이동 로보트의 주행에 관한 연구 (A Study on locomotion of a mobile robot by a visual perception)

  • 신중섭;정동명;조종만;장원석;홍승홍
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1260-1263
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    • 1987
  • This paper describes the mobile robot system to recognize the guidance tape, and presents the locomotion algorithm. This system converts video imago to binary image by setting an optimal threshold and obtains the parameters to move the robot. The mobile robot moves according to the programmed route in memory. But after recognized the obstacle on the locomotion routs, this system constructs the new route and the robot moves following the new route.

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Visual Tracking of Objects for a Mobile Robot using Point Snake Algorithm

  • Kim, Won;Lee, Choon-Young;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.30-34
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    • 1998
  • Path Planning is one of the important fields in robot technologies. Local path planning may be done in on-line modes while recognizing an environment of robot by itself. In dynamic environments to obtain fluent information for environments vision system as a sensing equipment is a one of the most necessary devices for safe and effective guidance of robots. If there is a predictor that tells what future sensing outputs will be, robot can respond to anticipated environmental changes in advance. The tracking of obstacles has a deep relationship to the prediction for safe navigation. We tried to deal with active contours, that is snakes, to find out the possibilities of stable tracking of objects in image plane. Snakes are defined based on energy functions, and can be deformed to a certain contour form which would converge to the minimum energy states by the forces produced from energy differences. By using point algorithm we could have more speedy convergence time because the Brent's method gives the solution to find the local minima fast. The snake algorithm may be applied to sequential image frames to track objects in the images by these characteristics of speedy convergence and robust edge detection ability.

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Lasers and Robots: Recent Developments in Transoral Laser and Transoral Robotic Surgery

  • Padalhin, Andrew Reyes
    • Medical Lasers
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    • 제9권2호
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    • pp.103-109
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    • 2020
  • Transoral microsurgery has come a long way as a go-to surgical intervention technique for head and neck cancers. This minimally invasive procedure had gained acceptance through comparative clinical studies against radical neck surgical procedures, radiotherapy, and chemotherapy. Laser technology has vastly improved the oncological outcomes of this procedure and brought about an appreciation of transoral laser surgery (TLM) as a mainstay for re-sectioning malignant tumors along the throat. As an established procedure, TLM has undergone several upgrades regarding the different energy devices used for cutting, ablation, and hemostasis. Continued advances in automation have eventually led to surgical robotics, resulting in the emergence of transoral robotic surgery (TORS) as a viable advanced alternative for TLM. Similarly, expansions and enhancements (image-based guidance, fluorescence spectroscopy, and advanced robotic system) have also been investigated as potential upgrades for TORS. This paper reviews a selection of publications on the significant technological advancements to TLM and TORS over the past five years.

3차원 초음파 시스템의 캘리브레이션 방법 (Calibration Technique for Freehand 3-D Ultrasound System)

  • 황면중
    • 한국산학기술학회논문지
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    • 제14권12호
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    • pp.6066-6071
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    • 2013
  • 본 논문에서는 의료용 초음파를 이용하는 로봇 시스템을 위한 3차원 캘리브레이션 방법을 제안한다. 고정된 기준점을 구성하기 위한 캘리브레이션 블록을 제작한 후 옵티컬 트래커(optical tracker)를 이용하여 초음파 프루브(probe)의 위치와 기준점의 위치를 측정한다. 초음파 영상의 픽셀 좌표와 센서로 측정된 위치를 비교하여 6개의 파라미터로 이루어진 초음파 프루브와 영상 내의 픽셀 좌표와의 관계 행렬을 구하고 2개의 파라미터로 이루어진 스케일링 행렬을 계산한다. 정밀한 캘리브레이션을 위해 캘리브레이션 블록 내부 모양과 매질 선택에 대한 적절성을 실험을 통해 검증한다. 제안된 방법은 간단한 형태의 캘리브레이션 블록과 옵티컬 트래커를 사용하여 설치에 많은 시간이 필요하지 않는 장점이 있기 때문에 초음파 영상을 이용하는 로봇 작업에 널리 적용이 가능하다.