• Title/Summary/Keyword: xy robot

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Development of the Fishbot Using Haptic Technology (햅틱기술을 이용한 피시봇 개발)

  • Lee, Young-Dae;Kang, Jeong-Jin;Moon, Chan-Woo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.4
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    • pp.77-82
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    • 2010
  • In this paper, a haptic fishing robot, Fishbot, for a Virtual Fishing System is presented. Fishbot is 3DOF robot and it consists of a XY table and a wheel motor. To simulate the motion of fish, XY table is controlled by position servo drivers with variable torque constraint, and wheel axis is controlled by torque servo driver. Finally, Fishibot detects the end point of fishing pole with cameras to recognize the pose of user, and it can interface with a Virtual Reality System.

Spot insepction System for Camera Target Lens using the Computer Aided Vision System (비젼을 이용한 카메라 렌즈 이물질 검사 시스템 개발)

  • 이일환;안우정;박희재;황두현;김왕도
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.271-275
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    • 1996
  • In this paper, an automatic spot inspection system has been developed for camera target lens using the computer aided vision system. The developed system comprises: light source, magnifying optics, vision camera, XY robot, and a PC. An efficient algotithm for the spot detection has been implemented, thus up tof ew micrometer size spots can be effectively identified in real time. The developed system has been fully interfaced with XY robot systenm, PLCs, thus the practical spot inspection system has been implemented. The system has been applied to a practical camera manufacturing process, and showed its efficiency.

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Do-It-Yourself (DIY) manufacture of a Nano-LC MALDI spotter robot using 3D printing technology

  • Lee, Jae-ung;Oh, Han Bin
    • Analytical Science and Technology
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    • v.30 no.4
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    • pp.167-173
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    • 2017
  • In the era of the forth Industrial Revolution, open source code and open source hardware have gained much attention. In particular, 3D printing technology is expanding into the realms of classical science, technology and our daily lives. Relatedly, in the present study, we demonstrate the manufacture of a nano-LC MALDI spotter robot using 3D printing technology. The parts of the spotter robot were either made using a 3D printer or purchased as 3D printer parts from the 3D printer online market, so that anyone can make the robot without a deep knowledge of engineering or electronics, i.e., DIY (do-it-yourself) product. In the nano-LC MALDI spotter, the nano-LC eluent and MALDI matrix were mixed in a T-union and discharged from the capillary outlet. The eluent and matrix mixture could be spotted onto the movable MALDI plate. The MALDI plate was designed to translate in a two-dimensional space (xy plane), which was enabled by the movements of two stepper motors. In the paper, all computer-aided design (CAD) files for the parts and operation software are provided to help the reader manufacture their own spotter robot.

Inspection System for The Metal Mask (Metal Mask 검사시스템)

  • 최경진;이용현;박종국
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.40 no.2
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    • pp.1-9
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    • 2003
  • We develop an experimental system to inspect a metal mask and, in this paper, introduce its inspection algorithm. This system is composed of an ASC(Area Scan Camera) and a belt type xy-table. The whole area of the metal mask is divided into several inspection blocks. The area of each block is equal to FOV(Field of View). For each block, the camera image is compared to the reference image. The reference image is made by gerber file. The rotation angle of the metal mask is calculated through the linear equation that is substituted two end points of horizontal boundary of a specific hole in a camera image. To calculate the position error caused by the belt type xy-table, HT(Hough-Transform) using distances among the holes in two images is used. The center of the reference image is moved as much as the calculated Position error to be coincided with the camera image. The information of holes in each image, such as centroid, size, width and height, are calculated through labeling. Whether a holes is mado correctly by laser machine or not, is judged by comparing the centroid and the size of hole in each image. Finally, we build the experimental system and apply this algorithm.

Laboratory Experiments of a Ground-Penetrating Radar for Detecting Subsurface Cavities in the Vicinity of a Buried Pipe (매설관 주변 지하 공동 탐지를 위한 지하 탐사 레이다의 모의실험)

  • Hyun, Seung-Yeup
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.2
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    • pp.131-137
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    • 2016
  • In this paper, a feasibility on a ground-penetrating radar for detecting subsurface cavities near buried pipes has been investigated. The experimental setup was implemented by employing an impulse ground-penetrating radar system, a xy Cartesian coordinate robot, an underground material filled tank, a metal pipe and a simulated cavity model. In particular, the simulated cavity model was constructed by packing Styrofoam chips and balls, which have both similar electrical properties to an air-filled cavity and a solid shape. Through typical three experiments, B-scan data of the radar have been acquired and displayed as 2-D gray-scale images. According to the comparison of B-scan images, we show that the subsurface cavities near the buried pipes can be detected by using the radar survey.

Bin-picking method using laser

  • Joo, Kisee;Han, Min-Hong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.306-315
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    • 1995
  • This paper presents a bin picking method using a slit beam laser in which a robot recognizes all of the unoccluded objects from the top of jumbled objects, and picks them up one by one. Once those unoccluded objects are removed, newly developed unoccluded objects underneath are recognized and the same process is continued until the bin gets empty. To recognize unoccluded objects, a new algorithm to link edges on slices which are generated by the orthogonally mounted laser on the xy table is proposed. The edges on slices are partitioned and classified using convex and concave function with a distance parameter. The edge types on the neighborhood slices are compared, then the hamming distances among identical kinds of edges are extracted as the features of fuzzy membership function. The sugeno fuzzy integration about features is used to determine linked edges. Finally, the pick-up sequence based on MaxMin theory is determined to cause minimal disturbance to the pile. This proposed method may provide a solution to the automation of part handling in manufacturing environments such as in punch press operation or part assembly.

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Shape Recognition of a Cabinet by using Ultrasonic Sensors (초음파 센서를 사용한 캐비닛 형상 인식)

  • Park, Sang-Sin;Sung, Young-Whee;Kim, Dong-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.4
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    • pp.10-16
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    • 2011
  • A cabinet is an outer frame of a TV, which is usually made of poly-carbonate. Cabinets are apt to be deformed because of applied heat during injection molding process and UV joining process. Severely deformed cabinets cause a falling-off in quality of the final product. Therefore cabinets should be inspected and only the good ones should be delivered to the following process. We implemented an experimental system for shape recognition of a cabinet and proposed several indices to characterize the shape of a cabinet. We also proposed algorithms to eliminate the possible bias present in measured data and to check the goodness of a cabinet. Experimental results show the feasibility of the propose algorithms.

Bin-Picking Method Using Laser (레이저를 이용한 Bin-Picking 방법)

  • Joo, Kisee;Han, Min-Hong
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.9
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    • pp.156-166
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    • 1995
  • This paper presents a bin picking method using a slit beam laser in which a robot recognizes all of the unoccluded objects from the top of jumbled objects, and picks them up one by one. Once those unoccluded objects are removed, newly developed unoccluded objects underneath are recognized and the same process is continued until the bin gets empty. To recognize unoccluded objects, a new algotithm to link edges on slices which are generated by the orthogonally mounted laser on the xy table is proposed. The edges on slices are partitioned and classified using convex and concave function with a distance parameter. The edge types on the neighborhood slices are compared, then the hamming distances among identical kinds of edges are extracted as the features of fuzzy membership function. The sugeno fuzzy integration about features is used to determine linked edges. Finally, the pick-up sequence based on MaxMin theory is determined to cause minimal disturbance to the pile. This proposed method may provide a solution to the automation of part handling in manufacturing environments such as in punch press operation or part assembly.

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