• Title/Summary/Keyword: mechatronics industry

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Obstacle Avoidance and Planning using Optimization of Cost Fuction based Distributed Control Command (분산제어명령 기반의 비용함수 최소화를 이용한 장애물회피와 주행기법)

  • Bae, Dongseog;Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.3
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    • pp.125-131
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    • 2018
  • In this paper, we propose a homogeneous multisensor-based navigation algorithm for a mobile robot, which is intelligently searching the goal location in unknown dynamic environments with moving obstacles using multi-ultrasonic sensor. Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method by fuzzy inference is used to govern the robot motions. The major factors for robot navigation are represented as a cost function. Using the data of the robot states and the environment, the weight value of each factor using fuzzy inference is determined for an optimal trajectory in dynamic environments. For the evaluation of the proposed algorithm, we performed simulations in PC as well as real experiments with mobile robot, AmigoBot. The results show that the proposed algorithm is apt to identify obstacles in unknown environments to guide the robot to the goal location safely.

Feature Extraction Using Convolutional Neural Networks for Random Translation (랜덤 변환에 대한 컨볼루션 뉴럴 네트워크를 이용한 특징 추출)

  • Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.3
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    • pp.515-521
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    • 2020
  • Deep learning methods have been effectively used to provide great improvement in various research fields such as machine learning, image processing and computer vision. One of the most frequently used deep learning methods in image processing is the convolutional neural networks. Compared to the traditional artificial neural networks, convolutional neural networks do not use the predefined kernels, but instead they learn data specific kernels. This property makes them to be used as feature extractors as well. In this study, we compared the quality of CNN features for traditional texture feature extraction methods. Experimental results demonstrate the superiority of the CNN features. Additionally, the recognition process and result of a pioneering CNN on MNIST database are presented.

A Study on Teleoperating Control Technology of the Industrial Robot Under the Limit Environment (극한환경작업을 위한 산업용 로봇의 원격제어기술에 관한 연구)

  • Baek, Seung-Hack;Hwang, Won-Jun;Jung, Sung-Won
    • Journal of the Korean Society of Industry Convergence
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    • v.18 no.3
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    • pp.150-156
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    • 2015
  • In this paper, it was proposed a new technology to improve the performance of the remote control in virtual reality applications. The operator must know the information of surroundings of the robot, collision possibility of the equipment, and force feedback of the manipulator. The time delay problem occurs in the tele-operating and it causes vibration and expressive power of the manipulator owing to bidirectional force feedback. We presented a new control method to control of the teleoperating system based on serial bus. The reliability is evaluated by simulation.

FSI Analysis of Piston Tilting for Pneumatic Actuator (공압 액추에이터의 피스톤 틸팅에 관한 FSI 해석)

  • Jang, Sung-Cheol;Jung, Won Taick;Park, Woon-Jae
    • Journal of the Korean Society of Industry Convergence
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    • v.19 no.3
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    • pp.144-153
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    • 2016
  • In this research performed on a pneumatic actuator, the air flow entering and exiting the cylinder, and the motion and deformation characteristics of the piston during operation of the actuator, were predicted. This was carried out by utilizing an FSI(Fluid-Structural Interaction) analysis technique that incorporates principles in computational fluid dynamics and structural stress analysis, and potential performance degradation factors were examined. Analysis results indicated that performance improvements could be made through design modifications. These include adding an inlet and outlet on the upper and lower sections of the cylinder in the conventional model, and increasing the number of sites for piston guide bars from three to four.

Fuzzy Inference Based Collision Free Navigation of a Mobile Robot using Sensor Fusion (퍼지추론기반 센서융합 이동로봇의 장애물 회피 주행기법)

  • Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.2
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    • pp.95-101
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    • 2018
  • This paper presents a collision free mobile robot navigation based on the fuzzy inference fusion model in unkonown environments using multi-ultrasonic sensor. Six ultrasonic sensors are used for the collision avoidance approach where CCD camera sensors is used for the trajectory following approach. The fuzzy system is composed of three inputs which are the six distance sensors and the camera, two outputs which are the left and right velocities of the mobile robot's wheels, and three cost functions for the robot's movement, direction, obstacle avoidance, and rotation. For the evaluation of the proposed algorithm, we performed real experiments with mobile robot with ultrasonic sensors. The results show that the proposed algorithm is apt to identify obstacles in unknown environments to guide the robot to the goal location safely.

Evolutionary Analogy of 6-Step Problem Solving Method Based on TRIZ (TRIZ 기반의 6스텝 기반 문제해결 프로세서와 추론방법)

  • Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.1
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    • pp.33-39
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    • 2020
  • In this research, Many people understand that the (accidental) tip and the "analogy" that leads to it have played a central role in many instances of creative problem solving.And it has been pursued as a way to get more hints to make a 'knowledge base' which is a collection of many cases. The Unified Systematic Inventive Thinking (USIT), which makes it easier to apply TRIZ, will seek out various ideas through a process of analyzing the current system and examining the ideal system more clearly. In this paper, we describe the rationale and application procedure of the "6 step thinking method" which improves the "4 step thinking method".

LQ control by linear model of Inverted Pendulum Robot for Robust Human Tracking (도립형 로봇의 강건한 인간추적을 위한 선형화 모델기반 LQ제어)

  • Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.1
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    • pp.49-55
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    • 2020
  • This paper presents the system modeling, analysis, and controller design and implementation with a inverted pendulum system in order to test Linear Quadratic control based robust algorithm for inverted pendulum robot. The balancing of an inverted pendulum robot by moving pendulum robot like as 'segway' along a horizontal track is a classic problem in the area of control. This paper will describe two methods to swing a pendulum attached to a cart from an initial downwards position to an upright position and maintain that state. The results of real experiment show that the proposed control system has superior performance for following a reference command at certain initial conditions.

CNC System Improvement Research of NC Lathe Abrasion-Based on User Defined Module (NC선반 절삭공구마모 문제점 보정을 위한 CNC 성능개선 시스템 연구)

  • Park, Eun-Sik;Kim, Han-Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.11 no.3
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    • pp.135-140
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    • 2008
  • This paper researched about Development Cutting Tool User Defined Module Based(PMCUDMS) on Simulation that was able to adapt themselves to rapid development of software and hardware to adopt. It is basic research that develops a scheme whereby technic make property. This paper theorized about to realize Cutting Tool User Defined Module Based on Simulation which is developing CNC Software flows from building Windows XP operating system's image that is possible realtime acting and multitasking to correct. And Cutting Tool User Defined Module Based on Simulation component which was consisted of basis OS, NC Code parser, Servo Motor Control, Simulator, Man-Machine Interface.

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Analysis for Patent Application Tendency in Components and Modules of Intelligent Robot (지능형 로봇 부품 및 모듈 특허동향 분석)

  • Kim, Seung-Min;Kim, Ji-Kwan;Nahm, Yoon-Eui
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.4
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    • pp.54-61
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    • 2007
  • This research relates to the patent application tendency about the components and modules of the intelligent robot among the robotics industry in which the market is more and more expanded. The patent about the components and modules of intelligent robot was analyzed from not only Korea but also U.S, Japanese and Europe which is called as the 3 pole of patent. By this research the government which supervises the nation's research policy can obtain the objective information of the industrial tendency, so it can establish the investment policy of national research and development. And the researchers can set up the research direction for evasion from patent infringement trouble by obtaining the patent application information. This also shows whether their research can be competitive or not.

Analysis for Patent Application Tendency in Intelligent Robot Hardware (지능형 로봇 하드웨어 특허동향 분석)

  • Kim, Seung-Min;Nahm, Yoon-Eui;Kim, Ji-Kwan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.4
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    • pp.46-53
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    • 2007
  • This research relates to the patent application tendency about the hardware platform of the intelligent robot among the robotics industry in which the market is more and more expanded. The patent about the hardware field of intelligent robot was analyzed from not only Korea but also U.S., Japanese and Europe which is called as the 3 pole of patent. By this research the government which supervises the nation's research policy can obtain the objective information of the industrial tendency, so it can establish the investment policy of national research and development. And the researchers can set up the research direction for evasion from patent infringement trouble by obtaining the patent application information. This also shows whether their research can be competitive or not.