• Title/Summary/Keyword: 산업로봇

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KAIA news

  • Korea Aerospace Industries Association
    • Aerospace Industry
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    • s.90
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    • pp.26-27
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    • 2006
  • 2006년도 제2차 이사회 및 제14차 정기 총회 개최/항공업종 B2B 네트워크 구축지원사업 워크숍 개최/로봇항공기대회 발전방안 및 기술교류 세미나 개최/제4회 한중테크노마트 참가 및 수출상담회 개최/신규회원사 소개

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Path Planning of Soccer Robot using Bezier Curve (Bezier 곡선을 이용한 축구로봇의 경로 계획)

  • 조규상;이종운
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.06a
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    • pp.161-165
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    • 2002
  • This paper describe a trajectory generation method for a soccer robot using cubic Bezier curve. It is proposed that the method to determine the location of control points. The control points are determined by the distance and the velocity parameters of start and target positions. Simulation results show its traceability of the trajectory of mobile robot.

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안전한 직장 만들기와 인간공학

  • Korea Industrial Health Association
    • The Safety technology
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    • no.25
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    • pp.22-27
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    • 2000
  • 안전하고 일하기 편리한 직장의 환경을 만들기 위해서는 인간공학적인 요소가 빠지지 않는다. 여기에서는 로봇을 처음으로 생산공정의 자동화가 진행되는 직장의 안전을 위해, 인간.기계.인터페이스(기계와 인간의 정보전달 수단)의 문제점을 고찰하였다. 시스템성 재해방지를 위해 인간공학적인 방법에 대한 기사와 점점 증가하는 고령자의 작업의 안전을 확보하기 위한 방법 및 사업장에 대한 개선사례를 소개한다.

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Design of Robot Arm for Service Using Deep Learning and Sensors (딥러닝과 센서를 이용한 서비스용 로봇 팔의 설계)

  • Pak, Myeong Suk;Kim, Kyu Tae;Koo, Mo Se;Ko, Young Jun;Kim, Sang Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.5
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    • pp.221-228
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    • 2022
  • With the application of artificial intelligence technology, robots can provide efficient services in real life. Unlike industrial manipulators that do simple repetitive work, this study presented design methods of 6 degree of freedom robot arm and intelligent object search and movement methods for use alone or in collaboration with no place restrictions in the service robot field and verified performance. Using a depth camera and deep learning in the ROS environment of the embedded board included in the robot arm, the robot arm detects objects and moves to the object area through inverse kinematics analysis. In addition, when contacting an object, it was possible to accurately hold and move the object through the analysis of the force sensor value. To verify the performance of the manufactured robot arm, experiments were conducted on accurate positioning of objects through deep learning and image processing, motor control, and object separation, and finally robot arm was tested to separate various cups commonly used in cafes to check whether they actually operate.

A Diagnosis system of misalignments of linear motion robots using transfer learning (전이 학습을 이용한 선형 이송 로봇의 정렬 이상진단 시스템)

  • Su-bin Hong;Young-dae Lee;Arum Park;Chanwoo Moon
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.801-807
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    • 2024
  • Linear motion robots are devices that perform functions such as transferring parts or positioning devices, and require high precision. In companies that develop linear robot application systems, human workers are in charge of quality control and fault diagnosis of linear robots, and the result and accuracy of a fault diagnosis varies depending on the skill level of the person in charge. Recently, there have been many attempts to utilize artificial intelligence to diagnose faults in industrial devices. In this paper, we present a system that automatically diagnoses linear rail and ball screw misalignment of a linear robot using transfer learning. In industrial systems, it is difficult to obtain a lot of learning data, and this causes a data imbalance problem. In this case, a transfer learning model configured by retraining an established model is widely used. The information obtained by using an acceleration sensor and torque sensor was used, and its usefulness was evaluated for each case. After converting the signal obtained from the sensor into a spectrogram image, the type of abnormality was diagnosed using an image recognition artificial intelligence classifier. It is expected that the proposed method can be used not only for linear robots but also for diagnosing other industrial robots.

국내 서보업계 관련 홈페이지 소개

  • 주은주;이종혁
    • KIPE Magazine
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    • v.9 no.2
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    • pp.38-41
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    • 2004
  • 서보 모터 및 드라이브는 일반산업기계, 반도체 장비, 공작기계, 산업용 로봇 등 산업 자동화 기술의 핵심요소이다. 국내에서는 1990년을 기점으로 대기업을 주축으로 서보 장치 개발이 시작되었으며, 일부 대학과 중소기업의 참여가 이루어져왔다 하지만 IMF이후 국내 서보기술 투자여건 변화와 선진제품의 꾸준한 시장잠식에 의해 외국산 서보제품이 국내시장의 대부분을 차지하고 있다. 〔그림 1〕. 이에 국내제품의 품질 및 기술력 향상을 통해 산업기반요소인 서보 시장에서 경쟁력을 갖춘 고 정밀 서보 시스템 개발이 요구되고 있다. 본고에서는 회전형 서보 모터 및 드라이브에 국한하여 국내 서보관련 제조업체 및 서보기술의 현황을 파악하여, 국내 서보 시스템의 발전 방향을 모색하는데 일조 하고자 국내 서보 제조업 체들의 홈페이지를 소개하고자 한다.(중략)

Design and Validation of Robot Curriculum in Education for the Gifted Elementary Students of Computer Science (초등정보과학영재를 위한 로봇교육과정의 설계 및 검증)

  • Lee, Jae-Ho;Nam, Gil-Hyun
    • Journal of Gifted/Talented Education
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    • v.19 no.3
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    • pp.669-695
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    • 2009
  • In the 21st century, there will be a robot revolution. Only several years ago, industrial robots were the mainstream in the robot market; however, diverse type of robots are currently entering into our daily lives for various purposes, and the robot that thinks and behaves very similarly to human will appear in the near future. However, there is a critical view about the robot period. This means that the robot revolution will change even the framework of our entire society and human life style, and it is necessary to have robot education. It is necessary to start robot education in the elementary school curriculum with a view to enhancing interest in basic science and scientific technology and cultivating creative talents who may adapt themselves to a robotic society. However, there is no systematic robot curriculum owing to insufficient perception of the need of robot education and the educational utilization of robots. Under these circumstances, robot education is largely dependent on education for students with special talents and aptitudes run by private organizations. This paper conducted the following research in order to develop a robot curriculum in education for the gifted elementary students of computer science. First, the paper identified problems by analyzing the robot curriculum from a micro perspective after selecting three organizations that are relatively well perceived out of private organizations that operate robot education for the gifted elementary students of computer science. Second, the paper developed a robot curriculum in education for the gifted elementary students of computer science based on the framework of a robot curriculum run by private sector. Third, the validity of the robot curriculum developed in this paper was verified by a professional group comprising mainly persons in charge of robot curriculum development at private sector and lecturers for robot education for the gifted elementary students of computer science.

Estimating the Impact of Automation and Globalization on Manufacturing Employment using Regional Labor Market Analysis (지역별 제조업 고용변화에 대한 자동화와 세계화의 영향)

  • Cho, Sungchul
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.3
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    • pp.274-290
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    • 2019
  • This article links the change in regional manufacturing employment in Korea after the financial crisis to the geography of technological and trade shocks. We conceptualize the trade shock as the rapid growth in Korean imports from and exports to China and ASEAN countries. We then measure the exposure to technological shocks as the degree to which regions are specialized in routine tasks, which are susceptible to automation technologies. Results show that local labor markets specialized in routine tasks experience significant falls in manufacturing employment. Regions whose industrial structure exposes them to rising import competition experience sharp drop in manufacturing employment. We also found that export plays a major role in explaining the growth of regional manufacturing employment.

Improving the Processing Speed and Robustness of Face Detection for a Psychological Robot Application (심리로봇적용을 위한 얼굴 영역 처리 속도 향상 및 강인한 얼굴 검출 방법)

  • Ryu, Jeong Tak;Yang, Jeen Mo;Choi, Young Sook;Park, Se Hyun
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.2
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    • pp.57-63
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    • 2015
  • Compared to other emotion recognition technology, facial expression recognition technology has the merit of non-contact, non-enforceable and convenience. In order to apply to a psychological robot, vision technology must be able to quickly and accurately extract the face region in the previous step of facial expression recognition. In this paper, we remove the background from any image using the YCbCr skin color technology, and use Haar-like Feature technology for robust face detection. We got the result of improved processing speed and robust face detection by removing the background from the input image.

Interface between Robot and Scanner for Remote Laser Welding System Based on Time Synchronization (시간 동기화에 근거한 리모트 레이저 용접 시스템에서의 로봇과 스캐너 인터페이싱)

  • Kim, Jeong-Jung;Lee, Joon-Woo;Lee, Ju-Jang;Kwon, Kyung-Up;Kang, Hee-Shin;Suh, Jeong
    • Laser Solutions
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    • v.16 no.1
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    • pp.10-14
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    • 2013
  • Remote laser beam welding (RLW) has the benefits of high speed and high quality welding, especially as applied to automotive industry. RLW is designed in a way that end effecter and head of scanner move simultaneously, and require the compensation for the motion of end effecter in order to weld proper position. In this paper, we show the algorithms of RLW that enable the end effecter to synchronize with scanner based on time. The proposed method consists of two algorithms. These algorithms make it possible for the moving end effecter to weld on desired place. The effectiveness of the algorithms is shown by experiments.

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