• Title/Summary/Keyword: robot modeling

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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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Hierarchical Model-based Real-Time Collision-Free Trajectory Control for a Cual Arm Rrobot System (계층적 모델링에 의한 두 팔 로봇의 상호충돌방지 실시간 경로제어)

  • Lee, Ji-Hong;Won, Kyoung-Tae
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.5
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    • pp.461-468
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    • 1997
  • A real-time collision-free trajectory control method for dual arm robot system is proposed. The proposed method is composed of two stages; one is to calculate the minimum distance between two robot arms and the other is to control the trajectories of the robots to ensure collision-free motions. The calculation of minimum distance between two robots is, also, composed of two steps. To reduce the calculation time, we, first, apply a simple modeling technique to the robots arms and determine the interested part of the robot arms. Next, we apply more precise modeling techniques for the part to calculate the minimum distance. Simulation results show that the whole algorithm runs within 0.05 second using Pentium 100MHz PC.

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Hybrid dynamic control approach for constrained robot motion control with stiffness adaptability (제한 동작 로봇의 강성도 적응성을 갖는 하이브리드 동적 제어에 관한 연구)

  • Lim, Mee-Seub;Lim, Joon-Hong
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.6
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    • pp.705-713
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    • 1999
  • In this paper, we propose a new motion and force control methodology for constrained robots as an approach of hybrid discrete-continuous dynamical system. The hybrid dynamic system modeling of robotic manipulation tasks with constraints is presented, and the hybrid system control architecture for unconstrained and constrained motion system with parametric uncertainties is synthesized. The optimal reference stiffness of robot manipulator is generated by the hybrid automata as a discrete state system and the control behavior of constrained system which has poor modeling information and time-varying constraint function is improved by the constrained robots as a continuous state system. The performance of the proposed constrained motion control system is successfully evaluated via experimental studies to the constraint tasks.

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The Motion Estimation of Caterpilla-type Mobile Robot Using Robust SLAM (강인한 SLAM을 이용한 무한궤도형 이동로봇의 모션 추정)

  • Byun, Sung-Jae;Lee, Suk-Gyu;Park, Ju-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.4
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    • pp.817-823
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    • 2009
  • This paper proposes a robust method for mapping of a caterpillar-type mobile robot which inherently has uncertainty in its modeling by compensating for the estimated pose error of the robot. In general, a caterpillar type robot is difficult to model, which results in inaccuracy in Simultaneous Localization And Mapping(SLAM). To enhance the robustness of the SLAM for a caterpillar-type mobile robot, we factorize the SLAM posterior, where we used particle filter to estimate the position of the robot and Extended Kalman Filter(EKF) to map the environment. The simulation results show the effectiveness and robustness of the proposed method for mapping.

A Study on the Performance Evaluation of Heavy Duty Handling Robot using Laser Tracker (초 중량물 핸드링 로봇의 성능평가에 관한 연구)

  • Ko, Haeju;Jung, Yoongyo;Shin, Hyeuk;Ryou, Han-Sik
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.9 no.3
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    • pp.1-7
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    • 2010
  • The aim of this research is to evaluate movement and path characteristics of developed heavy duty handling robot using laser tracker(API T3) according to the ISO 9283 robot performance evaluation criteria. As carry out 3D modeling and simulation using CATIA, a test cube was set up to select moving and measuring range of robot. Performance test for pose and distance accuracy, path and path velocity accuracy under payload zero and 440kgf was accomplished. The resulted output data show the reliability of the developed robot.

Development of Fuzzy Steering Controller for Outdoor Autonomous Mobile Robot with MR sensor

  • Kim, Jeong-Heui;Son, Seok-Jun;Lim, Young-Cheol;Kim, Tae-Gon;Ryoo, Young-Jae;Kim, Eui-Sun
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.105.5-105
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    • 2001
  • This paper describes a fuzzy steering controller for an autonomous mobile robot with MR sensor. Using the magnetic field(Bx, By, Bz) obtained from the MR sensor, we designed fuzzy controller for driving on the road center. Fuzzy rule base was built to magnetic field(Bx, By, Bz). To develop an autonomous mobile robot simulation program, we have done modeling MR sensor, dynamic model of mobile robot and coordinate transformation. A computer simulation of the robot including mobile robot dynamics and steering was used to verify the steering performance of the mobile robot controller using the fuzzy logic Good results were obtained by computer simulation. So, we confirmed the robustness of the proposed fuzzy controller by computer ...

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An Integrated Robot-Trajectory-Planning Scheme for Spray Painting Operations (스프레이 페인팅 작업을 위한 일관화된 로보트 궤적계획법에 관한 연구)

  • Suh, Suk-Hwan;Woo, In-Kee
    • IE interfaces
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    • v.3 no.2
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    • pp.23-38
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    • 1990
  • The use of robots for painting operations is a powerful alternative as a means for automation and quality improvement. A typical method being used for motion planning of the painting robot is to guide the robot along the desired path : the "lead-through" method. Although this method is simple and has been widely used, it has several drawbacks a) The robot cannot be used during the teaching period, b) A human is exposed to a hostile environment, c) The motions taught are, at best, human's skill level. To deal with the above problems, an integrated robot-trajectory planning scheme is presented. The new scheme takes CAD data describing the shape and geometry of the objects, and outputs an optimal trajectory in the sense of coating thickness and painting time. The purpose of this paper is to investigate theoretical backgrounds for such a scheme including geometric modeling, painting mechanics and robot trajectory planning, and develop algorithms for generating spray gun paths and minimum-time robot trajectories. Future study is to implement these algorithms on an workstation to develop an integrated software system ; ATPS(Automatic Trajectory Planning System) for spray painting robots.

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Off-Line Programming for Task Teaching in a Muti-Robot System (다중 로봇의 작업 교시를 위한 오프라인 프로그래밍)

  • Kim, Dae-Kwang;Kang, Sung-Kyun;Son, Kwon
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.412-412
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    • 2000
  • This paper presents a task teaching method for off-line programming of a multi-robot system. Teaching commands were developed in order to simplify a complex teaching process, to shorten the setup time for new working environment and to have flexibility for changes in working environment. Four teaching commands can be used to automatically generate trajectories of an end-effector of the robot in electronics assembly line. The robots used in the work cell are a four-axis SCARA robot and six-axis articulated robot. Each robot is controlled in a independent way while objects, working environment and robots are modeled in corresponding modules, respectively. The off- line programming system developed uses OpenGL for a smooth graphic effect in Window s where three dimensional CAD data can be leaded for graphical modeling.

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Application of an Input Shaping Method for Reduction of Residual Vibration in the Wafer Positioning Robot (웨이퍼 이송 로봇의 잔류진동 저감을 위한 입력성형 기법의 적용)

  • Ahn, Tae-Kil;Yim, Jae-Chul;Kim, Seong-Kun;Kim, Kug Weon
    • Journal of the Semiconductor & Display Technology
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    • v.11 no.2
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    • pp.33-38
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    • 2012
  • The wafer positioning robot in the semiconductor industry is required to operate at high speed for the improvement of productivity. The residual vibration caused by the high speed of the wafer positioning robot, however, makes the life of the robot shorter and the cycle time longer. In this study, the input shaping and the path of the system are designed for the reduction of the residual vibration and the improvement of the cycle time. The followings are the process for the reduction and the improvement; 1) System modeling of the wafer positioning robot, 2) Verification of dynamic characteristics of the wafer positioning robot, 3) Input shaping plan using impulse response reiteration, 4) Simulation test using SIMULINK program, 5) Analysis of result.

An Estimation of Modeling Uncertainty for a Mechanical System in Actuators and Links in a Rigid Manipulator Using Control Theory (시스템 모델링의 불확실성 추정과 보상)

  • Park, Rai-Wung;Cho, Sul
    • 대한공업교육학회지
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    • v.34 no.2
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    • pp.396-410
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    • 2009
  • The goal of this work is to present an advanced method of an estimation of the Modeling Uncertainties coming up in industrial rigid robot's manipulator and actuators. First, with the given physical robot model, the motion equation was derived. Considering a fictitious model, a new extended motion equation is developed. Based on this extended model, an observer and observer bank are designed for the estimation of modeling uncertainties which are involving the effects of gravity, friction, mass unbalance, and Coriolis which show the nonlinear characteristics in operation states.