• Title/Summary/Keyword: Working Robot

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Environment Modeling for Autonomous Welding Robotus

  • Kim, Min-Y.;Cho, Hyung-Suk;Kim, Jae-Hoon
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.2
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    • pp.124-132
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    • 2001
  • Autonomous of welding process in shipyard is ultimately necessary., since welding site is spatially enclosed by floors and girders, and therefore welding operators are exposed to hostile working conditions. To solve this problem, a welding robot that can navigate autonomously within the enclosure needs to be developed. To achieve the welding ra나, the robotic welding systems needs a sensor system for the recognition of the working environments and the weld seam tracking, and a specially designed environment recognition strategy. In this paper, a three-dimensional laser vision system is developed based on the optical triangulation technology in order to provide robots with work environmental map. At the same time a strategy for environment recognition for welding mobile robot is proposed in order to recognize the work environment efficiently. The design of the sensor system, the algorithm for sensing the structured environment, and the recognition strategy and tactics for sensing the work environment are described and dis-cussed in detail.

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A 3-D Position Compensation Method of Industrial Robot Using Block Interpolation (블록 보간법을 이용한 산업용 로봇의 3차원 위치 보정기법)

  • Ryu, Hang-Ki;Woo, Kyung-Hang;Choi, Won-Ho;Lee, Jae-Kook
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.3
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    • pp.235-241
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    • 2007
  • This paper proposes a self-calibration method of robots those are used in industrial assembly lines. The proposed method is a position compensation using laser sensor and vision camera. Because the laser sensor is cross type laser sensor which can scan a horizontal and vertical line, it is efficient way to detect a feature of vehicle and winding shape of vehicle's body. For position compensation of 3-Dimensional axis, we applied block interpolation method. For selecting feature point, pattern matching method is used and 3-D position is selected by Euclidean distance mapping between 462 feature values and evaluated feature point. In order to evaluate the proposed algorithm, experiments are performed in real industrial vehicle assembly line. In results, robot's working point can be displayed 3-D points. These points are used to diagnosis error of position and reselecting working point.

A Study on Tracking Control of Remote Operated Excavator for Field Robot (필드로봇용 원격 굴삭 시스템의 궤적제어에 관한 연구)

  • Yang, S.S.;Jin, S.M.;Choi, J.J.;Lee, C.D.;Kim, Y.S.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.6 no.4
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    • pp.9-15
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    • 2009
  • Hydraulic excavators are the representative of field robot and have been used in various fields of construction. Since the excavator operates in the hazardous working environment, operators of excavator are exposed in harmful environment. Therefore, the hydraulic excavator automation and remote operation system has been investigated to protect from the hazardous working environment. In this paper, remote operation excavator system is developed using the mini hydraulic excavator and the tracking control system of each links of excavator is designed. To apply the tracking control system, the adaptive sliding mode control algorithm is proposed. It is found that the performance of the proposed control system is improved through experimental results of using the remote operation excavator system.

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The Collaboration Framework for Robot Application (로봇 어플리케이션을 위한 협업 프레임워크)

  • Lee, Chang-mug;Kwon, Oh-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.889-891
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    • 2009
  • The utilization of robot application is growing up in recent years, but there is a constraint to execute various application on the robot because of difference of robot resource. This paper presents the framework in order to solve the resource constraint by sharing resources with other devices near by robot. The framework defines common factors that are needed to collaboration work. Furthermore, We show the working flow of framework with an example consisted of robot and some devices in same network.

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Development of the Gait Assistant Mobile Robot using Ergonomics Design (인간공학적 디자인을 적용한 보행가이드 로봇의 개발)

  • Jang, J.H.;Park, T.J.;Han, C.S.;Han, J.S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1166-1171
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    • 2004
  • In this study, the concept of autonomous mobility is applied to a gait support mobile robot. The aim of the development of the service robot is to assist the elderly with gait rehabilitation. This study proposes an ergonomic service robot design parameter. The gait assistant path pattern is derived from analysis of the elderly gait. A lever is installed in the AMR in order to measure both the pulling force and the leading force of the elderly. The path generation of the mobile robot is developed through consideration and analysis of elderly gait patterns. The ergonomic design parameters (dimensions, action scope and working space) are determined based on moving scope of the elderly. The gait assistant mobile robot was offered the elderly guide service and internet service based on the ergonomic design parameters.

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A NOVEL APPROACH OF BUILDING CONSTRUCTION USING ROBOTIC TECHNOLOGY

  • Baeksuk Chu;Kyungmo Jung;Hunhee Cho;Myo-Taeg Lim;Daehie Hong
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.31-37
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    • 2011
  • Construction automation is yet to be improved since construction site still faces a lot of high risks and difficulties. This research focuses on applying robotic beam assembly system in place of construction workers. This system consists of CF (Construction Factory) structure to provide adequate working environment to robot automation. The CF structure not only gives automation environment for a robot but also houses the equipments to protect from outside effects. The robotic beam assembly system also consists of robotic bolting system and robot transport mechanism. It utilizes various tools to insert and join the bolts and nuts. Visual servoing helps precise robot motion by sensing bolt hole and tail of the bolt. ITA system helps non skilled workers to easily perform the assembly work with the robot system. The robot transport mechanism includes sliding rail and cross-wired lift. It carries the robot to a desired position for assembly work.

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Natural Frequency Analysis of Spring-Manipulator System for Force Generation Utilizing Mechanical Resonance

  • Kobayashi, Jun;Ohkawa, Fujio
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1651-1656
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    • 2005
  • This paper describes a natural frequency analysis conducted to find out a suitable working area for a spring-manipulator system generating a large vibrating force with mechanical resonance. Large force generation is one of the functions that we hope for a robot. For example, a weeding robot is required to generate a large force, because some weeds have roots spreading deeply and tightly. The spring-manipulator system has a spring element as an end-effector, so it can be in a state of resonance with the elasticity of the spring element and the inertial characteristics of the manipulator. A force generation method utilizing the mechanical resonance has potential to produce a large force that cannot be realized by a static method. A method for calculating a natural frequency of a spring-manipulator system with the generalized inertia tensor is proposed. Then the suitable working area for the spring-manipulator system is identified based on a natural frequency analysis. If a spring-manipulator system operates in the suitable working area, it can sustain mechanical resonance and generate a large vibrating force. Moreover, it is shown that adding a mass at the tip of the manipulator expands the suitable working area.

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3-D Working Point Decision Method for Industrial Robot (산업용 로봇의 3차원 작업 위치 결정 방법)

  • Ryu, Hang-Ki;Lee, Jae-Kook;Kim, Byeong-Woo;Choi, Won-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.1
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    • pp.121-127
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    • 2008
  • In this paper, we propose a new 3-D working point determination method for industrial robot using vision camera system and block interpolation technique with feature points in a vehicle body. To detect the feature points in a vehicle body, we applied the pattern matching method. For determination of working point, we applied block interpolation method. The block consists of 3-D type blocks with detected feature points per section. 3-D position is selected by Euclidean distance between 245 feature values and an acquired feature point. In order to evaluate the proposed algorithm, experiments are performed in glass equipment process in real industrial vehicle assembly line.

A Compensation Control Method Using Neural Network for Mechanical Deflection Error in SCARA Robot with Random Payload

  • Lee, Jong Shin
    • Journal of the Korean Society of Mechanical Technology
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    • v.13 no.3
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    • pp.7-16
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    • 2011
  • This study proposes the compensation method for the mechanical deflection error of a SCARA robot. While most studies on the related subject have dealt with the development of a control algorithm for improvement of robot accuracy, this study presents the control method reflecting the mechanical deflection error which is predicted in advance. The deflection at the end of the gripper of SCARA robot is caused by the self-weights and payloads of Arm 1, Arm 2 and quill. If the deflection is constant even though robot's posture and payload vary, there may not be a big problem on robot accuracy because repetitive accuracy, that is relative accuracy, is more important than absolute accuracy in robot. The deflection in the end of the gripper varies as robot's posture and payload change. That's why the moments $M_x$, $M_y$ and $M_z$ working on every joint of a robot vary with robot's posture and payload size. This study suggests the compensation method which predicts the deflection in advance with the variations in robot's posture and payload using neural network. To do this, I chose the posture of robot and the payloads at random, found the deflections by the FEM analysis, and then on the basis of this data, made compensation possible by predicting deflections in advance successively with the variations in robot's posture and payload through neural network learning.

A Basic Study of Water Basin Experiment for Underwater Robot with Improving usability (사용자 운용 편의성을 위한 수중로봇 MR-1의 수조실험에 관한 연구)

  • Nam, Keonseok;Ryu, Jedoo;Ha, Kyoungnam
    • The Journal of Korea Robotics Society
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    • v.15 no.1
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    • pp.32-38
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    • 2020
  • This paper describes a method for tracking attitude and position of underwater robots. Underwater work with underwater robots is subject to differences in work efficiency depending on the skill of the operator and the utilization of additional sensors. Therefore, this study developed an underwater robot that can operate autonomously and maintain a certain attitude when working underwater to reduce difference of work efficiency. The developed underwater robot uses 8 thrusters to control 6 degrees of freedom motion, IMU (Inertial Measurement Unit), DVL (Doppler Velocity Log) and PS (Pressure Sensor) to measure attitude and position. In addition, the thruster allocation algorithm was designed to follow the control desired value using 8 thrusters, and the motion control experiments were performed in the engineering water basin using the thruster allocation method.