• 한국기계가공학회지
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• 제17권3호
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• pp.155-162
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• 2018

Delta robots are usually used for industrial manufacturing, but heavy weight and expensive price have been obstacles to rapid propagation of robots in the field. The goal of this research is to make light-weight and price-competitive delta robots. To reduce the weight, we used plastic material for the arm link, and to reduce the price, we used a step-motor as the main actuator. First we formulated the equations of inverse kinematics for the designed delta robot and then verified these equations by using multibody-dynamics simulation. An algorithm of motion control was developed and applied to the motion-processing unit using a timer-interrupt of 8 milliseconds. Finally, we tested the performance of the new delta robot by checking its control of motion along line segments.

• 한국생산제조학회지
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• 제8권2호
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• pp.108-115
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• 1999

This paper proposes the robot inverse calibration method using a neural networks. A highorder networks called Pi-Sigma networks has been used. The Pi-Sigma networks uses linear summing units in the hidden layer and product unit in output layer. The inverse calibration model which compensates the difference of joint variables only between measuring value and analytic value about the desired pose(position orientation) of a robot is proposed. The compensated values are determined by using the weights obtained from the learning process of the neural networks previously. To prove the reasonableness the SCARA type direct drive robot(4-DOF) and anthropomorphic robot(6-DOF) are simulated. It shows that the proposed calibration method can reduce the errors of the joint variables from $\pm$3 to $\pm$0.1.

• 로봇학회논문지
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• 제2권1호
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• pp.103-108
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• 2007

Intelligent Robot is considered as one of the Next Generation Growth Engine in many countries. The application fields are expected to be widen from 80's robotics for manufacturing to many applications such as military, space, medical, personal, etc. To reduce the R&D investment risk Technical Roadmap is prepared by Japan, Europe and Korea. In this paper, the technical Roadmap of the countries was analysed to get the idea of future of Robotics. Robotics is considered as one of solutions of future aged society. Robot can assist and company with elderly people in the near future. On the other hand, Robot is considered as a core technology of manufacturing competitive power. Industrial competitiveness also would be dependent on robot technology. Special Service robot has many application areas and each country has different target based on the situation. With the comparison of technical roadmap, we have suggested some ideas to improve Korea's roadmap.

• 융합정보논문지
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• 제11권4호
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• pp.83-101
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• 2021

본 연구는 우리나라 중소기업들에게 4차 산업혁명 대응과 스마트 기업으로의 변화를 위해서는 어떠한 기술들을 우선적으로 적용하여야 하는가에 대한 내용을 AHP를 활용하여 규명하는 것이다. 이를 위하여 4차 산업혁명 관련 기술들을 종합하고, 김대훈 외(2019)의 분류기준을 준용하지만 전문가들의 의견을 추가로 수렴하여 관련 기술들을 분류하였다. 인공지능(AI), Big Data, Cloud Computing을 디지털 기반기술로, 모바일, 사물인터넷(IoT), Block Chain을 초연결 기술로, 무인운송(자율주행), 로봇(Robot), 3D 프린팅, 드론을 융합기술로, 스마트 제조 및 물류, 스마트 헬스케어, 스마트 교통, 스마트 금융을 스마트 산업기술로 구분하였다. AHP 분석과 종합가중치를 계산하는 방식으로 기술적용 우선순위를 확인한 결과 제조기업은 모바일, 인공지능(AI), Big Data, 로봇(Robot)의 순위가 높으며, 서비스기업은 Big Data, 로봇(Robot), 인공지능(AI), 스마트 헬스케어의 순위가 높고 전체기업에서는 Big Data, 인공지능(AI), 로봇(Robot), 모바일의 순서이다. 본 연구를 통해 4차 산업혁명 대응과 스마트 기업으로의 변화를 위해서는 어떠한 기술들을 우선적으로 적용하여야 하는가를 명확하게 규명하였다.

• 산업경영시스템학회지
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• 제21권48호
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• pp.201-211
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• 1998

The fundamental object of work measurement is to precisely establish the time standards, which are the indices of labor productivity. This study discussed the development of robot work measurement method that could establish the time standard effectively. In manufacturing industries the various robot tasks are generally classified and standardized by the unit motions. The Robot Modularization of the Unit Motion (ROMUM) was realized by the module of two steps GET and PUT unit motions. This method reduced time and effort of analysis, and could be done with ease. Therefore, ROMUM will increase the convenience of use for the unskilled worker and decrease the time required, cost and errors. And, it will contribute to reduce the unnecessary motion by robot motion analysis.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2001년도 추계학술대회(한국공작기계학회)
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• pp.117-121
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• 2001

This paper presents a new approach to the calibration of a SCARA robot orientation with a camera modeling that accounts for major sources of camera distortion, namely, radial, decentering, and thin prism distortion. Radial distortion causes an inward or outward displacement of a given image point from its ideal location. Actual optical systems are subject to various degrees of decentering, that is, the optical centers of lens elements are not strictly collinear. Thin prism distortion arises from imperfection in lens design and manufacturing as well as camera assembly. It is our purpose to develop the vision system for the pattern recognition and the automatic test of parts and to apply the line of manufacturing.

• 제어로봇시스템학회논문지
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• 제22권12호
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• pp.1027-1033
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• 2016

There is an increasing need for manufacturing systems to produce batches in small quantities. Such manufacturing systems are significantly difficult to develop with conventional automation equipment. Recently, several research groups have applied industrial dual-arm robots to cell production lines. A synchronization method for robots is necessary for the cell production process when robots work in a shared workspace. Conventional automation factories do not need this method because the main control system operates all of the machines or robots. However, our intended application for the developed robot is in small manufacturing environments that cannot install an expensive main control system. We propose an inexpensive and high-performance method with a simple digital in/out channel using a real-time communication protocol. The developed method was validated in a pilot production line for cellular phone packing.

• 한국기계가공학회지
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• 제3권2호
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• pp.39-45
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• 2004

Generally industrial multi-articulated robots are used for parts assembly, welding, and painting processes. The high flexibility of them is very useful to not only parts assembly, welding, and painting processes, but also machining processes. But because of machining processes to need a high stiffness of machine structure, so machining is usually not tried at them, except deburring processes now. During past three years the works are carried out to improve the stiffness of a industrial multi-articulated robot With some gas spring as a first idea in this research area. As a result of that stiffness was significantly up, and found and investigated the machining possibility at it.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
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• pp.565-570
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• 1999

In this paper, we developed a windows 95 version Off-Line Programming system which can simulate a Robot model in 3D Graphics space. 4axes SCARA Robot (especially FARA SM5) was adopted as an objective model. Forward kinematics, inverse kinematics and robot dynamics modeling were included in the developed program. The interface between users and the OLP system in the Windows 95's GUI environment was also studied. The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by silicon Graphics, Inc. were utilized for 3D Graphics.

• 대한임베디드공학회논문지
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• 제19권1호
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• pp.57-64
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• 2024

In the industrial field, robots are used to increase productivity by replacing labors with dangerous, difficult, and hard tasks. However, failures of individual industrial robots in the entire production process may cause product defects or malfunctions, and may cause dangerous disasters in the case of manufacturing parts used in automobiles and aircrafts. Although requirements for early diagnosis of industrial robot failures are steadily increasing, there are many limitations in early detection. This paper introduces methods for diagnosing robot failures using sound-based data and deep learning. This paper also analyzes, compares, and evaluates the performance of failure diagnosis using various deep learning technologies. Furthermore, in order to improve the performance of the fault diagnosis system using deep learning technology, we propose a method to increase the accuracy of fault diagnosis based on an inference window. When adopting the inference window of deep learning, the accuracy of the failure diagnosis was increased up to 94%.