• Title/Summary/Keyword: Robot Automation system

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Automated Alignment of Transporter and Stowage Using the Principle of Linetracer (라인트레이서의 원리를 이용한 트랜스포터와 스토웨지의 자동 정렬)

  • Hong, Yun-Ki;Park, Ki-Hun;Yoon, Tae-Sung;Park, Seung-Kyu
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1926-1927
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    • 2011
  • In this paper, an alignment method between a transporter and a stowage is presented for the automation of loading and unloading operations in the mobile harbor system. The principle of linetracer is utilized for the automatic alignment of transporter and stowage, and the effectiveness of the alignment method is proved by a simulated experiment using mobile robot.

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Implementation of a real-time neural controller for robotic manipulator using TMS 320C3x chip (TMS320C3x 칩을 이용한 로보트 매뉴퓰레이터의 실시간 신경 제어기 실현)

  • 김용태;한성현
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.65-68
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    • 1996
  • Robotic manipulators have become increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking are indispensable capabilities for their versatile application. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. This paper presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. The TMS32OC31 is used in implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme, the networks introduced are neural nets with dynamic neurons, whose dynamics are distributed over all the, network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure, fast in computation, and suitable for implementation of real-time, control. Performance of the neural controller is illustrated by simulation and experimental results for a SCARA robot.

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Study of integrated control system for factory automation (공장자동화를 위한 통합제어시스템에 관한 연구)

  • 최경현;윤지섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1245-1248
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    • 1996
  • This paper describes a cell programming environment that deals with problems associated with programming Flexible Manufacturing Cells(FMCs). The environment consists of the cell programming editor and the automatic generation module. In the cell programming editor, cell programmers can develop cell programs using task level description set which supports task-oriented specifications for manipulation cell activities. This approach to cell programming reduces the amount of details that cell programmers need to consider and allows them to concentrate on the most important aspects of the task at hand. The automatic generation module is used to transform task specifications into executable programs used by cell constituents. This module is based on efficient algorithm and expert systems which can be used for optimal path planning of robot operations and optimal machining parameters of machine tool operations. The development tool in designing the environment is an object-oriented approach which provides a simple to use and intuitive user interface, and allows for an easy development of object models associated with the environment.

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Time-optimal Trajectory Planning for a Robot System under Torque and Impulse Constraints

  • Cho, Bang-Hyun;Choi, Byoung-Suk;Lee, Jang-Myung
    • International Journal of Control, Automation, and Systems
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    • v.4 no.1
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    • pp.10-16
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    • 2006
  • In this paper, moving a fragile object from an initial point to a specific location in the minimum time without damage is studied. In order to achieve this goal, initially, the maximum acceleration and velocity ranges are specified. These ranges can be dynamically generate on the planned path by the manipulator. The path can be altered by considering the geometrical constraints. Later, considering the impulsive force constraint on the object, the range of maximum acceleration and velocity are obtained to preserve object safety while the manipulator is carrying it along the curved path. Finally, a time-optimal trajectory is planned within the maximum allowable range of acceleration and velocity. This time-optimal trajectory planning can be applied to real applications and is suitable for both continuous and discrete paths.

A Robust Observer Design for Nonlinear MIMO Plants using Time-Delayed Signals

  • Lee, Jeong-Wan;Chang, Pyung-Hun
    • Transactions on Control, Automation and Systems Engineering
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    • v.1 no.1
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    • pp.22-31
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    • 1999
  • In this paper, a robust observer design method for nonlinear multi input multi-output(MINO) plants is presented. This method enables the extension of the time delay observer (TDO) for nonlinear SISO plants in the phase variable form to MIMO plants. The designed TDO reconstructs the states of the plant expressed in the generalized observability canonical form (GOBCF), yet requiring neither the transformation of a plant, nor the real time computation coordinates, the observer turned out to be computationally efficient and easy to design for nonlinear MIMO plants. In a simulation of a two-link manipulator with flexible joints, the control performances using TDO appeared to be similar to those using actual states and superior to those using numerical differentiation. Finally, in an experiment with a robot, it was confirmed that the TDO reconstructs the states reliability and TDO can be effectively used in a real closed-loop system.

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A Study on Design of Flexible Gripper for Unmanned FA (무인 FA를 위한 플렉시블 그리퍼 설계에 관한 연구)

  • Kim, Hyun-Gun;Kim, Gi-Bok;Kim, Tae-Kwan
    • Journal of the Korean Society of Industry Convergence
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    • v.18 no.3
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    • pp.167-172
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    • 2015
  • In this paper, we propose a new approach to design and control a smart gripper of robot system. A control method for flexible grasping a object in partially unknown environment was proposed, where a proximate sensor detecting the distance between the fingertip and object was used. Based on the proximate sensor signal the finger motion controller could plan the grasping process divided in three phases. The first step is scanning process which two first joints were moved to mid-position of the detected range by a state-variable feedback position controller, after the scanning was finished. The contact force of fingertip was then controlled using the detection sensor of the servo controller for finger joint control. The proposed grasping planning was tested on rectangular bar.

Development of Mathematical Models for Control of Process Parameters for Robotic $CO_2$ Arc Welding (로봇 $CO_2$ 아크용접 공정변수를 제어하기 위한 수학적 모델 개발)

  • 임동엽;박창언;김일수;정영재;손준식;이계정
    • Proceedings of the KWS Conference
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    • 1997.10a
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    • pp.229-233
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    • 1997
  • The demand to increase productivity and quality, the shortage of skilled labour and the strict health and safety requirements have led to the development of the automated welding process to deal with many of the present problems of welded fabrication. To make effective use of the automated arc welding process, it is imperative that a mathematical model, which can be programmed easily and fed to the robot, should be developed. The objectives of the paper are to develop the mathematical equations (linear and curvilinear) for study of the relationship between process variables and bead geometry by employing a standard statistical package program, SAS and to choose the best model for automation of the $CO_2$ gas arc welding process. Mathematical models developed from experimental results can be employed to control the process variables in order to achieve the desired bead geometry based on weld quality criteria. Also these equations may prove useful and applicable for automatic control system and expert systems.

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Robust Automatic Parking without Odometry using an Evolutionary Fuzzy Logic Controller

  • Ryu, Young-Woo;Oh, Se-Young;Kim, Sam-Yong
    • International Journal of Control, Automation, and Systems
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    • v.6 no.3
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    • pp.434-443
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    • 2008
  • This paper develops a novel automatic parking algorithm based on a fuzzy logic controller with the vehicle pose for the input and the steering rate for the output. It localizes the vehicle by using only external sensors - a vision sensor and ultrasonic sensors. Then it automatically learns an optimal fuzzy if-then rule set from the training data, using an evolutionary fuzzy system. Furthermore, it also finds the green zone for the ready-to-reverse position in which parking is possible just by reversing. It has been tested on a 4-wheeled Pioneer mobile robot which emulates the real vehicle.

Gyro Effect Control of the Quadrotor UAV using Feedback Linearization (피드백 선형화를 이용한 쿼드로터의 자이로 효과 제어)

  • Kim, Young-Min;Baek, Woon-Bo
    • The Journal of Korea Robotics Society
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    • v.15 no.3
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    • pp.248-255
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    • 2020
  • This paper introduces a Feedback Linearization (FL) controller to eliminate the gyro effect on a quadrotor UAV. In order to control the attitude of the quadrotor, the second model equation was differentiated to the 4-th order to induce the control input to be revealed, and then a new control input was derived based on the attitude transformation equation with a gyro effect. For the initial quick posture control of the quadrotor, the existing yaw control was replaced with a separate controller. The simulation was conducted with an experiment in which FL control to remove the gyro effect was applied to the quadrotor and an experiment without removing the gyro effect, from the experimental results, the maximum error seen in each axial direction of the quadrotor was x = 0.22 m, y = 0.20 m, z = 0.16 m. Through the proposed method, the effect of the FL controller for controlling the gyro effect of the quadrotor was confirmed.

Combining Shape and SIFT Features for 3-D Object Detection and Pose Estimation (효과적인 3차원 객체 인식 및 자세 추정을 위한 외형 및 SIFT 특징 정보 결합 기법)

  • Tak, Yoon-Sik;Hwang, Een-Jun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.2
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    • pp.429-435
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    • 2010
  • Three dimensional (3-D) object detection and pose estimation from a single view query image has been an important issue in various fields such as medical applications, robot vision, and manufacturing automation. However, most of the existing methods are not appropriate in a real time environment since object detection and pose estimation requires extensive information and computation. In this paper, we present a fast 3-D object detection and pose estimation scheme based on surrounding camera view-changed images of objects. Our scheme has two parts. First, we detect images similar to the query image from the database based on the shape feature, and calculate candidate poses. Second, we perform accurate pose estimation for the candidate poses using the scale invariant feature transform (SIFT) method. We earned out extensive experiments on our prototype system and achieved excellent performance, and we report some of the results.