• Title/Summary/Keyword: 로봇 센서

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Development of Human Following Method of Mobile Robot Using QR Code and 2D LiDAR Sensor (QR 2D 코드와 라이다 센서를 이용한 모바일 로봇의 사람 추종 기법 개발)

  • Lee, SeungHyeon;Choi, Jae Won;Van Dang, Chien;Kim, Jong-Wook
    • IEMEK Journal of Embedded Systems and Applications
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    • v.15 no.1
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    • pp.35-42
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    • 2020
  • In this paper, we propose a method to keep the robot at a distance of 30 to 45cm from the user in consideration of each individual's minimum area and inconvenience by using a 2D LiDAR sensor LDS-01 as the secondary sensor along with a QR code. First, the robot determines the brightness of the video and the presence of a QR code. If the light is bright and there is a QR code due to human's presence, the range of the 2D LiDAR sensor is set based on the position of the QR code in the captured image to find and follow the correct target. On the other hand, when the robot does not recognize the QR code due to the low light, the target is followed using a database that stores obstacles and human actions made before the experiment using only the 2D LiDAR sensor. As a result, our robot can follow the target person in four situations based on nine locations with seven types of motion.

A Study on Intelligent Robot Bin-Picking System with CCD Camera and Laser Sensor (CCD카메라와 레이저 센서를 조합한 지능형 로봇 빈-피킹에 관한 연구)

  • Kim, Jin-Dae;Lee, Jeh-Won;Shin, Chan-Bai
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.11 s.188
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    • pp.58-67
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    • 2006
  • Due to the variety of signal processing and complicated mathematical analysis, it is not easy to accomplish 3D bin-picking with non-contact sensor. To solve this difficulties the reliable signal processing algorithm and a good sensing device has been recommended. In this research, 3D laser scanner and CCD camera is applied as a sensing device respectively. With these sensor we develop a two-step bin-picking method and reliable algorithm for the recognition of 3D bin object. In the proposed bin-picking, the problem is reduced to 2D intial recognition with CCD camera at first, and then 3D pose detection with a laser scanner. To get a good movement in the robot base frame, the hand eye calibration between robot's end effector and sensing device should be also carried out. In this paper, we examine auto-calibration technique in the sensor calibration step. A new thinning algorithm and constrained hough transform is also studied for the robustness in the real environment usage. From the experimental results, we could see the robust bin-picking operation under the non-aligned 3D hole object.

유연부품조립을 위한 시각측정시스템의 설계

  • Kim, Jin-Young;Cho, Hyung-Suck
    • Korean Journal of Optics and Photonics
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    • v.13 no.4
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    • pp.283-288
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    • 2002
  • Unlike rigid parts, flexible parts can be deformed by contact force during assembly. In robotic assembly, information about their deformation as well as possible misalignment between the holes and their respective mating parts is essential for successful assembly. This paper presents a method to design a visual sensing system for measuring parts deformation and misalignment in flexible parts assembly. This paper performs ray-trace analysis of the system. A series of experiments for flexible parts assembly by using the implemented system are performed.

레이저산업의 부활 (II. 산업용 레이저)

  • Lee, Min-Gyeong
    • The Optical Journal
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    • s.153
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    • pp.47-62
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    • 2014
  • ${\blacksquare}$ 목적 * 우리나라 주력산업분야(자동차, 조선, 항공, 기계, 로봇, 반도체 등)에 절단, 가공, 용접, 리소그라피, 마킹, 열처리, 합성, 표면처리 등의 방식으로 활용되고, 융 복합산업(의료, 에너지, 영상, 군수, 신소재, 센서)에 광원으로 응용되는 산업용 고출력 레이저의 산업 생태계 분석을 통하여 기존 산업의 고부가화와 신산업의 경쟁력을 견인 ${\blacksquare}$ 주요현황 * (시장현황) 2011년부터 2014년까지 고출력 레이저의 시장규모는 4,452백만불(5조 463억원)에서 5,255백만불(5조 9,565억원)으로 연평균 5.7% 성장 전망 * (제품기술동향) 3세대 레이저인 광섬유 레이저와 고출력 다이오드 레이저, DPSS 레이저 등이 기술혁신을 거듭하면서 1, 2세대 레이저를 대체해 가면서 높은 수준의 성장을 거듭할 것으로 전망. 산업용레이저의 주요선진국 대비 국내 기술수준은 전체적으로 44.5%정도로 취약 * (기업동향) Coherent, Trumpf, Cymer, IPG Photonics, Rofin-Sinar 5개사가 전체시장의 55%이상을 점유하고 있으며 대부분 수직계열화를 통해 경쟁력 확보. 최근 중국의 Han's 사가 자국정부의 지원을 통해 급 부상 ${\blacksquare}$ 시사점 * 산업용 레이저를 이용한 응용기술 부분 투자가 과거에는 단기 경제적 성취는 이로웠으나, 현재에 이르러 레이저 혹은 레이저 시스템이 필요할 때마다 외국에서 관련 핵심부품, 모듈 등을 수입해야하는 실정에 이르렀음. 향후 레이저 국산화를 위한 노력과 함께 후방 소재.부품의 전략적 투자를 통해 산업의 건강한 선순환생태 환경을 조성하여 산업 경쟁력을 갖추어야 함.

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Study on the Seam Tracking by Using Fiber Sensor and X-Y Robot (Fiber Sensor와 X-Y Robot을 이용한 용접선 추적에 관한 연구)

  • 배철오;박영산;이성근;김윤식;안병원
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.1
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    • pp.144-149
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    • 2001
  • There are many types of seam tracking methods actually used in industrial spot. Lately, Non-contact sensor technics are mostly used because non-contact sensor has more advantage than contact sensor in many parts. This paper also concerned about fiber sensor a kind of non-contact sensor. X-Y robot and fiber sensor scan the seam tracking to be weld. After scanning, X-Y robot moves the first working point of being scanned and welding starts automatically. It makes an experiment on some types of Seam tracking like straight line tracking, leaned line tracking and curved line tracking to confirm how well the fibers sensor tracks the seam pass to be weld. And the seam pass that had been tracked was welded by inverter $CO_2$ voiding machine.

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Study on the Seam Tracking by Using Fiber Sensor and X-Y Robot (Fiber Sensor와 X-Y Robot을 이용한 용접선 추적에 관한 연구)

  • 배철오;이성근;김윤식;안병원;박영산
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.558-561
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    • 2000
  • There are many types of seam tracking methods actually used in industrial spot. Lately, Non-contact sensor technics are mostly used because non-contact sensor has more advantage than contact sensor in many parts. This paper also concerned about fiber sensor a kind of non-contact sensor. X-Y robot and fiber sensor scan the seam tracking to be weld. After scanning, X-Y robot moves the first working point of being scanned and welding starts automatically. It makes an experiment on some types of Seam tracking like straight line tracking, leaned line tracking and curved line tracking to confirm how well the fibers sensor tracks the seam pass to be weld. And the seam pass that had been tracked was welded by inverter CO2 welding machine.

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Development of an Active Head Eye System with Physiological Observations of the Human Visual System (인간 시각의 생리학적 측면에서의 관찰을 통한 능동시각 시스템 개발)

  • Ryu, Yeon-Geol;Kim, Do-Hyoung;An, Kwang-Ho;Chung, Myung-Jin
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.1979-1980
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    • 2006
  • 최근 인간과 유사한 휴머노이드에 대한 연구가 상당히 활발하고 그 영역이 계속해서 확대되고 있는 추세다. 휴머노이드에는 로봇의 몸체 뿐 아니라 머리 부분, 특히 시각 시스템이 매우 중요하다. 본 논문에서는 생리학적인 측면에서 인간의 눈과 목의 운동을 관찰하여 휴머노이드에 적용 가능한 능동 시각 시스템의 기구부 설계 방법을 제안하고 제어 방식을 설명한다. 기존의 팬-틸트 방식의 시각 시스템에 없는 인공 안구의 롤 회전 기능을 추가함으로써, 사람의 시각 시스템과 거의 유사한 동작 영역과 동작 속도를 보이게 된다. 소형 비전센서 모듈을 사용함으로써 시스템의 크기가 줄고 경량화 되었다. DC 모터를 엑츄에이터로 사용함으로써, 위치와 속도 제어가 가능하고, 인간 안구의 단속적 운동을 모사 할 수 있다.

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Local Obstacle Avoidance Method of Mobile Robots Using LASER scanning sensor (레이저 스캐닝 센서를 이용한 이동 로봇의 지역 장애물 회피 방법)

  • Kim, Sung Cheol;Kang, Won Chan;Kim, Dong Ok;Seo, Dong Jin;Ko, Nak Yong
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.51 no.3
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    • pp.155-160
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    • 2002
  • This paper focuses on the problem of local obstacle avoidance of mobile robots. To solve this problem, the safety direction section search algorithm is suggested. This concept is mainly composed with non-collision section and collision section from the detecting area of laser scanning sensor. Then, we will search for the most suitable direction in these sections. The proposed local motion planning method is simple and requires less computation than others. An environment model is developed using the vector space concept to determine robot motion direction taking the target direction, obstacle configuration, and robot trajectory into account. Since the motion command is obtained considering motion dynamics, it results in smooth and fast as well as safe movement. Using the mobile base, the proposed obstacle avoidance method is tested, especially in the environment with pillar, wall and some doors. Also, the proposed autonomous motion planning and control algorithm are tested extensively. The experimental results show the proposed method yields safe and stable robot motion through the motion speed is not so fast.

A Study on a Visual Sensor System for Weld Seam Tracking in Robotic GMA Welding (GMA 용접로봇용 용접선 시각 추적 시스템에 관한 연구)

  • 김재웅;김동호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.643-646
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    • 2000
  • In this study, we constructed a preview-sensing visual sensor system for weld seam tracking in real time in GMA welding. A sensor part consists of a CCD camera, a band-pass filter, a diode laser system with a cylindrical lens, and a vision board for inter frame process. We used a commercialized robot system which includes a GMA welding machine. To extract the weld seam we used a inter frame process in vision board from that we could remove the noise due to the spatters and fume in the image. Since the image was very reasonable by using the inter frame process, we could use the simplest way to extract the weld seam from the image, such as first differential and central difference method. Also we used a moving average method to the successive position data of weld seam for reducing the data fluctuation. In experiment the developed robot system with visual sensor could be able to track a most popular weld seam, such as a fillet-joint, a V-groove, and a lap-joint of which weld seam include planar and height directional variation.

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Design of Navigation Algorithm for Mobile Robot using Sensor fusion (센서 합성을 이용한 자율이동로봇의 주행 알고리즘 설계)

  • Kim Jung-Hoon;Kim young-Joong;Lim Myo-Teag
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.10
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    • pp.703-713
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    • 2004
  • This paper presents the new obstacle avoidance method that is composed of vision and sonar sensors, also a navigation algorithm is proposed. Sonar sensors provide poor information because the angular resolution of each sonar sensor is not exact. So they are not suitable to detect relative direction of obstacles. In addition, it is not easy to detect the obstacle by vision sensors because of an image disturbance. In This paper, the new obstacle direction measurement method that is composed of sonar sensors for exact distance information and vision sensors for abundance information. The modified splitting/merging algorithm is proposed, and it is robuster for an image disturbance than the edge detecting algorithm, and it is efficient for grouping of the obstacle. In order to verify our proposed algorithm, we compare the proposed algorithm with the edge detecting algorithm via experiments. The direction of obstacle and the relative distance are used for the inputs of the fuzzy controller. We design the angular velocity controllers for obstacle avoidance and for navigation to center in corridor, respectively. In order to verify stability and effectiveness of our proposed method, it is apply to a vision and sonar based mobile robot navigation system.