• Title/Summary/Keyword: Robot Control System

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A Robot Controller Development of a Large-scale System for Shipbuilding

  • Kim, Soo-Ho;Kang, Gye-Hyung;Park, Ju-Yi;Chu, Gil-Whoan;Kim, Jin-Wook;Kim, Ji-Yun;Kim, Sung-Kwun
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.472-475
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    • 2005
  • This paper present a robot controller developed for shipbuilding yard. Since shipbuilding process handles large work pieces and has dusty and noisy environment, the developed controller has separated architecture into main control part and servo control part. Main control part is located in control room while servo control part is located near robot with work pieces. Commutation between two parts is done through SynqNet and RS485. Air purging system is adapted to servo control part for better reliability. We aimed open architecture in both hardware and software architecture. For open hardware architecture, we employed Compact PCI (cPCI) because it is widely used bus system and very reliable. Since lots of commercial boards are available with cPCI interface, upgrade and reconfiguration is easy. For open software architecture, Windows XP�� Embedded is selected as operating system (OS), because it is very popular OS and most hardware vender supports device driver for the windows XP.

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A Study on Stable Motion Control of Mobile-Manipulators Robot System (모바일-매니퓰레이터 구조 로봇시스템의 안정한 모션제어에 관한연구)

  • Park, Moon-Youl;hwang, Won-Jun;Park, In-Man;Kang, Un-Wook
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.4
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    • pp.217-226
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    • 2014
  • Since the world has changed to a society of 21st century high-tech industries, the modern people have become reluctant to work in a difficult and dirty environment. Therefore, unmanned technologies through robots are being demanded. Now days, effects such as voice, control, obstacle avoidance are being suggested, and especially, voice recognition technique that enables convenient interaction between human and machines is very important. In this study, in order to conduct study on the stable motion control of the robot system that has mobile-manipulator structure and is voice command-based, kinetic interpretation and dynamic modeling of two-armed manipulator and three-wheel mobile robot were conducted. In addition, autonomous driving of three-wheel mobile robot and motion control system of two-armed manipulator were designed, and combined robot control through voice command was conducted. For the performance experiment method, driving control and simulation mock experiment of manipulator that has two-armed structure was conducted, and for experiment of combined robot motion control which is voice command-based, through driving control, motion control of two-armed manipulator, and combined control based on voice command, experiment on stable motion control of voice command-based robot system that has mobile-manipulator structure was verified.

Design of Fuzzy Logic Control System for Segway Type Mobile Robots

  • Kwak, Sangfeel;Choi, Byung-Jae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.2
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    • pp.126-131
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    • 2015
  • Studies on the control of inverted pendulum type systems have been widely reported. This is because this type of system is a typical complex nonlinear system and may be a good model to verify the performance of a proposed control system. In this paper, we propose the design of two fuzzy logic control systems for the control of a Segway mobile robot which is an inverted pendulum type system. We first introduce a dynamic model of the Segway mobile robot and then analyze the system. We then propose the design of the fuzzy logic control system, which shows good performance for the control of any nonlinear system. In this paper, we here design two fuzzy logic control systems for the position and balance control of the Segway mobile robot. We demonstrate their usefulness through simulation examples. We also note the possibility of simplifying the design process and reducing the computational complexity. This possibility is the result of the skew symmetric property of the fuzzy rule tables of the system.

Real-Time Centralized Soft Motion Control System for High Speed and Precision Robot Control (고속 정밀 로봇 제어를 위한 실시간 중앙 집중식 소프트 모션 제어 시스템)

  • Jung, Il-Kyun;Kim, Jung-Hoon
    • IEMEK Journal of Embedded Systems and Applications
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    • v.8 no.6
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    • pp.295-301
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    • 2013
  • In this paper, we propose a real-time centralized soft motion control system for high speed and precision robot control. The system engages EtherCAT as high speed industrial motion network to enable force based motion control in real-time and is composed of software-based master controller with PC and slave interface modules. Hard real-time control capacity is essential for high speed and precision robot control. To implement soft based real time control, The soft based master controller is designed using a real time kernel (RTX) and EtherCAT network, and servo processes are located in the master controller for centralized motion control. In the proposed system, slave interface modules just collect and transfer all sensor information of robot to the master controller via the EtherCAT network. It is proven by experimental results that the proposed soft motion control system has real time controllability enough to apply for various robot control systems.

Iot Based Vision and Remote Control a Compact Mobile Robot System (IoT 기반의 비전 및 원격제어 소형 이동 로봇 시스템)

  • Jeon, Yun Chae;Choi, Hyeri;Yoon, Ki-Cheol;Kim, Gwang Gi
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.267-273
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    • 2021
  • Recently, the small-size mobile robots with remote-control are rapidly growth which market of mobile is increased in the world. Especially, the smart-phones are widely used for interface device in the small size of a mobile robot. The research goal is control system design which is applied to miniaturization of a mobile robot using smart-phone and it can be confirmed performance for designed system. Meanwhile, the fabrication of mini-mobile robot can also be remote-control operation through the WIFI performance of a smart-phone. The smart-phone is used to remote-control for robot operation which control data transmit to robot via the WIFI network. To drive the robot, we can observe by the smart-phone screen and it can easily adjust the robot drive condition and direction by smart-phone button. Consequentially, there was no malfunction and images were printed out well. However, in drive, because of blind spot, robot was bumped into obstacle. Therefore, the additional test is necessary to sensor for blind spot which sensor can be equipment to mobile robot. In addition, the experiment with robot object recognition is needed.

Study for Control Algorithm of Robust Multi-Robot in Dynamic Environment (동적인 환경에서 강인한 멀티로봇 제어 알고리즘 연구)

  • 홍성우;안두성
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.249-254
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    • 2001
  • Abstract In this paper, we propose a method of cooperative control based on artifical intelligent system in distributed autonomous robotic system. In general, multi-agent behavior algorithm is simple and effective for small number of robots. And multi-robot behavior control is a simple reactive navigation strategy by combining repulsion from obstacles with attraction to a goal. However when the number of robot goes on increasing, this becomes difficult to be realized because multi-robot behavior algorithm provide on multiple constraints and goals in mobile robot navigation problems. As the solution of above problem, we propose an architecture of fuzzy system for each multi-robot speed control and fuzzy-neural network for obstacle avoidance. Here, we propose an architecture of fuzzy system for each multi-robot speed control and fuzzy-neural network for their direction to avoid obstacle. Our focus is on system of cooperative autonomous robots in environment with obstacle. For simulation, we divide experiment into two method. One method is motor schema-based formation control in previous and the other method is proposed by this paper. Simulation results are given in an obstacle environment and in an dynamic environment.

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A computed-error-input based learning scheme for multi-robot systems

  • Kuc, Tae-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.518-521
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    • 1995
  • In this paper, a learning control problem is formulated for cooperating multiple-robot manipulators with uncertain system parameters. The commonly held object is also assumed to be unknown and the multiple-robots themselfs experience uncertain operating conditions such as link parameters, viscous friction parameters, suctions, actuator bias, and etc. Under these conditions, the learning controllers designed for learning of uncertain parameters and robot control inputs for multiple-robot systems are shown to drive the multiple-robot manipulators to follow the desired Cartesian trajectory with the desired internal forces to the unknown object.

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A PC-Based Open Robot Control System : PC-ORC (PC에 기반을 둔 개방형 로봇제어시스템 : PC-ORC)

  • 김점구;최경현;홍금식
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.5
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    • pp.415-425
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    • 2000
  • An open architecture manufacturing strategy intends to integrate manufacturing components on a single platform so that a particular component can be easily added and/or replaced. Therefore, the control scheme based upon the open architecture concept is hardware-independent. In this paper, a modular and object oriented approach for a PC-based open robot control system is investigated. A standard reference model for robot systems, which consists of three modules; hardware module, operating system module, and application software module, is first proposed. Then, a PC-based Open Robot Controller(PC-ORC), which can reconfigure robot control systems in various production environments, is developed. The PC-ORC is built upon the object-oriented method, and allows an easy implementation and modification of various modules. The PC-ORC consists of basic softwares, application objects, and additional hardware device on the PC Platform. The application objects are: sequencer, computation unit, servo control, ancillary equipment, external sensor control, and so on. In order to demonstrate the applicability of the PC-ORC, the proposed PC-ORC configuration is applied to an industrial SCARA robot system.

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Coordinated Control of a Macro/Micro Robot with Separate Controllers (제어기가 분리 설계된 매크로/마이크로 로봇의 공동작용 제어)

  • Hwang, Jung-Hun;Kwon, Dong-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.3
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    • pp.309-316
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    • 2000
  • A coordination method for a macro/micro robot with separate controllers is proposed and evaluated. The macro/micro robot system generally has independent controllers for the macro and the micro robot respectively. A controller for the coordination of the macro and the micro robot has been designed based on the stable independent controller of each system. The method and trajectory generation method is also proposed to track the moving desired position rapidly. The control method and trajectory generation method is also proposed to track the moving desired position rapidly. The control strategy has been implemented to the macro/micron robot system to evaluate the performance. The experimental results show that the proposed method for maintaining the micro robot within its workspace has uniform performance over the various range of the bandwidth and the proposed trajectory generator is shown to be efficient.

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Development of a PC-based SCARA robot control system (PC 인터페이스가 가능한 스카라형 로봇제어기의 개발)

  • 고경철;임태균;범희락;조형석;정융섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.493-496
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    • 1990
  • Recently, the robot control systems are required to be more flexible and intelligent in order to execute more complex and delicate tasks. As an approach to such system, a PC-based robot control system is presented in this paper. The axis controllers are independently designed for each joint of robot manipulator and are supervised by a personal computer. Therefore, the almost system program including the control algorithm can be easily developed and modified in the PC's environment. This proposed control system was successfully applied to 4 axis SCARA-type robot and the associated S/W modules were developed. We can construct sensory robot systems by simply connecting the sensing devices to the PC and the study on this now being progressed.

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