• Title/Summary/Keyword: automatic guided vehicle

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A study on autonomous Cleaning Robot for Hot-cell Application (핫셀 적용을 위한 벽면주행 청소로봇에 관한 연구)

  • 한상현;김기호;박장진;장원석;이응혁
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.415-415
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    • 2000
  • The functions of a mobile robot such as obstacle knowledge and collision avoidance for in-door cleaning are necessary features, as has been much studied in the field of industrial automatic guided vehicle or general mobile robot. A mobile robot, in order to avoid collision with obstacles, has to gather data with environment knowledge sensors and recognize environment and the shape of obstacles from the data. In the study, a wall-following algorithm was suggested as a autonomous moving algorithm in which a mobile robot can recognize obstacles in indoor like environment and do cleaning work in effect. The system suggested in the study is for cleaning of nuclear material dusts generated in the process of nuclear fuel manufacturing and decontamination of devices in disorder which is performed in M6 radioactive ray shield hot-cell in IMEF(Irradiated Material Examination Facility) in the Korea Atomic Energy Research Institute.

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Driving Environment Recognition and a Simple Wall-Following Algorithm for AGV Using Sonar Sensor (초음파 센서를 이용한 AGV의 주행 환경 인식과 간단한 벽면 따르기 알고리즘)

  • Kim, Seong-Joong;Lee, Jeong-Woong;Lee, Chang-Goo
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2337-2340
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    • 2002
  • This paper presents the method of AGV(Automatic guided vehicle)'s moving environment(plane, corner, edge) recognition using SONAR sensor configuration. As for the SONAR sensor, the Crosstalk effect has been generally considered as an inevitable noisy phenomenon in the indoor environment. However, this effect can be used as a clue for classifying and localizing targets in the indoor environment if those can be controlled and used well. EERUF(error eliminate rapid ultrasonic firing) is a method for firing multiple ultrasonic sensors in mobile robot application and multi-echo mode of POLARIOD Device can reduce the Crosstalk effect. Here, Crosstalk effect was reduced using EERUF and applied to the AGV with a simple wall-following algorithm in the indoor environment. This method was tesed by a typical AGV with multi SONAR sensors in the laboratory environment.

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A Study on Driving Trajectory of AGV for Container Transport (컨테이너 운송용 AGV의 운동궤적에 관한 연구)

  • Lee, Ji-Yong;Kim, Min-Ju;Lee, Seung-Soo;Kim, Joong-Wan;Jeon, Eon-Chan
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.1076-1081
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    • 2004
  • In this study, we have developed the simulation tool in order to investigate driving trajectory of AGV for container transport. AGV for container transport is different from the indoor AGV in that it is a large size structure at being loaded the weight of 40 ton. And AGV for container transport is applied to front wheel steering, rear wheel steering, all wheel steering, and crap steering. Therefore, we have developed the simulation tool considering dynamic problems and center of turning in accordance with four way of steering modes. Throughout some computer simulations, we have confirmed that this tool is useful to analysis dynamic problems and to calculate minimum radius of turning for large size vehicles.

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Material Handling System Improvement Analysis Applying Simulation Technique (시뮬레이션 기법(技法)을 이용한 물류(物流) 시스템 개선(改善)에 관한 연구(硏究))

  • Shin, Hyeon-Pio;Park, Sung-Yeon;Lee, Hwa-Ki
    • IE interfaces
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    • v.5 no.1
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    • pp.35-46
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    • 1992
  • This paper deals with analysis of material handling system efficiency of a heat-exchanger manufacturing line. This line is a typical flow shop type assembly line which consists of 10 steps of assembly stations. Each station have one or two workers who assemble and move components for the job, and no special transporters for component's movement. Therfore, all the workers are involoved in unnecessary moving activities which decrease overall production efficiencies of the line. To improve productivities, production outputs and worker's job performances for this assembly line, the several alternatives are considered such as installing new conveyor lines and automatic guided vehicle(AGV) system. Analyzing economic feasibilities and responses of the system alternatives, an experimental simulation model is built suing SIMAN Ver. 3. 5 simulation language with CINEMA package for animation of the process flow. Through this animation process a vivid picturial analysis could performed on the process flow.

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A Study on the Economic Justification of a Material Handling System using AHP (AHP기버을 이요한 물류시스템의 경제성평가에 관한 연구)

  • 장원호;함효준;이광수
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.35
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    • pp.139-155
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    • 1995
  • This study is concerned with the economic analysis of implementing a material handling system using automated guided vehicle(AGV)s in order to improve the productivity of the production process of chinawares. Analytic hierarchy process(AHP) method for selecting the facilities of material handling systems is presented. Subsequently, as an example, a chinaware production line is analyzed for the economic analysis. The result shows that seven manpowers can be reduced. However the introduction of the new material handling system is turn out to be undesirable due to high initial cost of AGV system, Nevertheless, in the long term, automatic material handling system such as AGV system are expected to play major roles in the modern manufacturing area.

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Design and Application of AMR Using SLAM and ROS (SLAM과 ROS를 활용한 AMR 설계 및 응용)

  • Cho, Su-Je;Choi, Seoung-Yeol;An, Jae-Yong;Hong, Sung-Su;Choi, Hong-Yong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1372-1375
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    • 2021
  • 최근 산업 현장에서 많은 안전사고가 일어나고 있고, 현장 노동력의 부족으로 무인 로봇 시스템들을 도입하는 등 다양한 변화를 맞이하고 있다. 이에 차세대 자동화 시스템은 보다 유연하고 지능적이어야 한다. AGV(Automatic Guided Vehicle)의 경우 실시간으로 변하는 현장에 대응하기 어렵고, 새로운 어플리케이션에 대한 제품개발의 어려움이 따른다. 이에 대한 대안으로 AGV 인식 스택을 재구축하여 인간과 동일한 공간인식 능력을 갖춘 AMR(Autonomous Mobile Robot)이 대두되고 있다. 본 연구에서는 SLAM과 ROS를 이용하여 AMR의 기능을 구축하였다. YD Lidar 센서와 SLAM을 이용하여 주변 환경을 지도화 하여 로봇의 현재 위치를 파악할 수 있도록 제작하였고, 직접 지도상의 최적 경로를 파악하여 주변 장애물을 회피하며 주행할 수 있음을 확인하였다. DC 모터의 응답 특성에 따라 주행 속도, 조향각 등을 제어할 수 있도록 구현하였다.

Detection of Moving Position of AGV Using Rotating LSB(Laser Slit Beam) (회전 레이져 슬릿 빔을 이용한 AGV 이동위치 검출)

  • Kim, Seon-Ho;Park, Gyeong-Taek;Park, Geon-Guk;An, Jung-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.12
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    • pp.137-144
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    • 2001
  • The major movement blocks of the container are the range between the apron and the designation points on yard in container terminals. The yard tractor drived by operator takes charge of it's movement in conventional container terminals. In automated container terminal, AGV(automatic guided vehicle) takes charge of a yard tractor's role and information of navigation path are ordered from upper control system. The automated container terminal facilities must have the docking system that guides landing zinc to execute high speed travelling and precision positioning. This paper describes the new docking method with the rotating LSB(laser slit beam) generator and two pair of photo receiver. The LSB generator is installed on the fixed ground and the photo receiver is implemented on the moving vehicle such as AGV. The proposed docking system is implemented to confirm it's function and accuracy. The accuracy of measured moving position is represented in ±5mm at 1 data sampling.

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Sensor Fusion of Localization using Unscented Kalman Filter (Unscented Kalman filter를 이용한 위치측정 센서융합)

  • Lee, Jun-Ha;Jung, Kyung-Hoon;Kim, Jung-Min;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.5
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    • pp.667-672
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    • 2011
  • This paper presents to study the sensor fusion of positioning sensors using UKF(unscented Kalman filter) for positioning accuracy improvement of AGV(automatic guided vehicle). The major guidance systems for AGV are wired guidance and magnetic guidance system. Because they have high accuracy and fast response time, they are used in most of the FMS(flexible manufacturing system). However, they had weaknesses that are high maintenance cost and difficult of existing path modification. they are being changed to the laser navigation in recent years because of those problems. The laser navigation is global positioning sensor using reflecters on the wall, and it have high accuracy and easy to modify the path. However, its response time is slow and it is influenced easily by disturbance. In this paper, we propose the sensor fusion method of the laser navigation and local sensors using UKF. The proposed method is improvement method of accuracy through error analysis of sensors. For experiments, we used the axle-driven forklift AGV and compared the positioning results of the proposed method with positioning results of the laser navigation. In experimental result, we verified that the proposed method can improve positioning accuracy about 16%.

A Vision Based Guideline Interpretation Technique for AGV Navigation (AGV 운행을 위한 비전기반 유도선 해석 기술)

  • Byun, Sungmin;Kim, Minhwan
    • Journal of Korea Multimedia Society
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    • v.15 no.11
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    • pp.1319-1329
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    • 2012
  • AGVs are more and more utilized nowadays and magnetic guided AGVs are most widely used because their system has low cost and high speed. But this type of AGVs requires high infrastructure building cost and has poor flexibility of navigation path layout changing. Thus it is hard to applying this type of AGVs to a small quantity batch production system or a cooperative production system with many AGVs. In this paper, we propose a vision based guideline interpretation technique that uses the cheap, easily installable and changeable color tapes (or paint) as a guideline. So a vision-based AGV with color tapes is effectively applicable to the production systems. For easy setting and changing of AGV navigation path, we suggest an automatic method for interpreting a complex guideline layout including multi-branches and joins of branches. We also suggest a trace direction decision method for stable navigation of AGVs. Through several real-time navigation tests with an industrial AGV installed with the suggested technique, we confirmed that the technique is practically and stably applicable to real industrial field.

An Adaptive Path-Planning for Intelligent AGV System (지능형 무인반송시스템을 위한 적응적 경로설정)

  • Ko, Jung-Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.4
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    • pp.115-121
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    • 2017
  • In this paper, the intelligent vision system for an effective and intelligent path-planning of an industrial AGV system based on stereo camera system is proposed. The depth information and disparity map are detected in the inputting images of a parallel stereo camera. The distance between the industrial AGV system and the obstacle detected and the 2D path coordinates obtained from the location coordinates, and then the relative distance between the obstacle and the other objects obtained from them. The industrial AGV system move automatically by effective and intelligent path-planning using the obtained 2D path coordinates. From some experiments on AGV system driving with the stereo images, it is analyzed that error ratio between the calculated and measured values of the distance between the objects is found to be very low value of 2% on average, respectably.