• 제목/요약/키워드: Robot Control System

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User Created Contents 기반 서비스 로봇 제어의 개발 연구 (A Study on the Development of Service Robot Control based on User Created Contents)

  • 나승권;최석임;편용국
    • 한국항행학회논문지
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    • 제19권4호
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    • pp.311-317
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    • 2015
  • 본 논문에서는 서비스 로봇 제어 시스템의 복잡한 소프트웨어 개발을 손쉽게 하기 위한 서비스 로봇 콘텐츠 개발 방법에 관한 연구이다. 본 연구에서 개발된 User created contents 기반 로봇 제어 시스템은 로봇 구동 제어회로, 센서 데이터 처리, 상태 표시, 모니터링 시스템 등을 모듈화 하여 사용자 입장에서 서비스 로봇 운용 화면을 구성하고 서비스 로봇을 운용 제어할 수 있는 시스템으로써 텍스트 기반에서 서비스 로봇 제어 콘텐츠를 자유롭게 운용할 수 있는 특징을 가진다. 또한, 사용자는 개발된 User created contents 를 이용하여 위치 변경뿐만 아니라 사용자가 원하는 로봇 운영 제어 GUI (graphic user interface) 도 변경이 가능하다는 장점을 가지고 있다. 결과적으로, 서비스 로봇 운용자가 사용자 입장에서 편리하게 서비스 로봇 콘텐츠를 만들 수 있는 방법을 제안하여 서비스 로봇의 개발을 활성화하는 방법을 제시하였다.

로봇 제어를 위한 시스템의 하드웨어 구성 (THE SOLUTION OF HARDWARE OF ROBOT CONTROL SYSTEM)

  • ;이영주;천세영;양순용
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2004년도 추계학술대회 논문집
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    • pp.474-479
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    • 2004
  • This paper presents an economical solution of the control system of robot, which is widely applied to sophisticated robots. The proposed control system is built on a foundation that is combined between driver motor, PC controlled servo-motor control card, and driver software. The solution had been applied to design hardware of controlled 6-DOF (Degree Of Freedom) robot. The controlled system is used to control VML Robot (Vehicle Mechatronic Lab). Addition, because of flexibility of the solution, the controller can be suit with widely robots at used servo-moto.

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우주로봇 원격제어 테스트 베드 (The test bed for teleoperated space robot)

  • 김동구;박종오
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.760-763
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    • 1997
  • Using telesensor programming method, we control the space robot which has two 2-DOF manipulators. To make this control system, we devide total works by elemental operation. And we make a simulation system that can simulate sensors and robot. In the simulation system, we make a sensor data and robot paths by "Teaching by showing" method. And using these data, we control the real space robot. This off-line method can solve long time delay problem in teleoperation.operation.

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모바일 로봇 제어를 위한 3D 인터페이스 시스템의 구현 (Implementation of a 3D Interface System for controlling Mobile Robot)

  • 강창훈;이종진;안현식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.107-110
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    • 2001
  • Recently, there are lots of concerning on robot agent system working for itself with the trends of the research of bio-mimetic system and intelligent robot. In this paper, a virtual 3D interface system is proposed based on Internet for remote controlling and monitoring of mobile robot. The proposed system is constructed as manager-agent model. A worker can order the robot agent move to a new position by clicking the destination on virtual space of 3D graphic interface in manager. Then the robot agent move to the position automatically with avoiding collision by using range finding and autonomous control algorithm. The proposed robot agent system lets us control the mobile robot remotely located more conveniently.

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LPD(Linear Parameter Dependent) System Modeling and Control of Two Wheeled Mobile Robot

  • Kang, Jin-Shig
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.76.2-76
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    • 2002
  • Because of the wheeled mobile robot is modeled by nonlinear system framework and controlled by nonlinear algorithms or fuzzy algorithms, the treatment of wheeled mobile robot is very complecate and conservative. In this paper, a new model of two wheeled mobile robot, which is a type of linear system and treated easily, is presented. And we will show that the control algorithms based on the linear system theory is well work to the wheeled mobile robot by simulation and experiment.

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HMM을 기반으로 한 자율이동로봇의 음성명령 인식시스템의 개발 (Development of Autonomous Mobile Robot with Speech Teaching Command Recognition System Based on Hidden Markov Model)

  • 조현수;박민규;이현정;이민철
    • 제어로봇시스템학회논문지
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    • 제13권8호
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    • pp.726-734
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    • 2007
  • Generally, a mobile robot is moved by original input programs. However, it is very hard for a non-expert to change the program generating the moving path of a mobile robot, because he doesn't know almost the teaching command and operating method for driving the robot. Therefore, the teaching method with speech command for a handicapped person without hands or a non-expert without an expert knowledge to generate the path is required gradually. In this study, for easily teaching the moving path of the autonomous mobile robot, the autonomous mobile robot with the function of speech recognition is developed. The use of human voice as the teaching method provides more convenient user-interface for mobile robot. To implement the teaching function, the designed robot system is composed of three separated control modules, which are speech preprocessing module, DC servo motor control module, and main control module. In this study, we design and implement a speaker dependent isolated word recognition system for creating moving path of an autonomous mobile robot in the unknown environment. The system uses word-level Hidden Markov Models(HMM) for designated command vocabularies to control a mobile robot, and it has postprocessing by neural network according to the condition based on confidence score. As the spectral analysis method, we use a filter-bank analysis model to extract of features of the voice. The proposed word recognition system is tested using 33 Korean words for control of the mobile robot navigation, and we also evaluate the performance of navigation of a mobile robot using only voice command.

신경 회로망을 이용한 로보트의 동력학적 시각 서보 제어 (Dynamic Visual Servo Control of Robot Manipulators Using Neural Networks)

  • 박재석;오세영
    • 전자공학회논문지B
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    • 제29B권10호
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    • pp.37-45
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    • 1992
  • For a precise manipulator control in the presence of environmental uncertainties, it has long been recognized that the robot should be controlled in a task-referenced space. In this respect, an effective visual servo control system for robot manipulators based on neural networks is proposed. In the proposed control system, a Backpropagation neural network is used first to learn the mapping relationship between the robot's joint space and the video image space. However, in the real control loop, this network is not used in itself, but its first and second derivatives are used to generate servo commands for the robot. Second, and Adaline neural network is used to identify the approximately linear dynamics of the robot and also to generate the proper joint torque commands. Computer simulation has been performed demonstrating the proposed method's superior performance. Futrhermore, the proposed scheme can be effectively utilized in a robot skill acquisition system where the robot can be taught by watching a human behavioral task.

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이동로보트의 점근적으로 안정한 추종제어 (Asymptotically stable tracking control of mobile robots)

  • 김도현;오준호
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.187-190
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    • 1997
  • In the past few years, many researchers are interesting of control of mobile robot with nonholonomic constraints. And tracking problems is important as well as regulation in nonholonomic system control. Some researchers have investigated the stable tracking control law for mobile robot. But, few results showed the globally asymptotically stable control method simply. So, we address the design of globally asymptotically stable tracking control law for mobile robot with nonholonomic velocity constraints using simple method. The stabilizability of the controller is derived by Lyapunov direct method. And we analyze the system responses according to the variation of control parameters in line tracking problem. It is derived that the responses represent no overshoot property in line tracking. Examples are two-wheeled mobile robot and car-like mobile robot and the simulation results represent the effectiveness of our method.

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학습기반 뉴로-퍼지 시스템을 이용한 휴머노이드 로봇의 지능보행 모델링 (Intelligent Walking Modeling of Humanoid Robot Using Learning Based Neuro-Fuzzy System)

  • 박귀태;김동원
    • 제어로봇시스템학회논문지
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    • 제13권4호
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    • pp.358-364
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    • 2007
  • Intelligent walking modeling of humanoid robot using learning based neuro-fuzzy system is presented in this paper. Walking pattern, trajectory of the zero moment point (ZMP) in a humanoid robot is used as an important criterion for the balance of the walking robots but its complex dynamics makes robot control difficult. In addition, it is difficult to generate stable and natural walking motion for a robot. To handle these difficulties and explain empirical laws of the humanoid robot, we are modeling practical humanoid robot using neuro-fuzzy system based on the two types of natural motions which are walking trajectories on a t1at floor and on an ascent. Learning based neuro-fuzzy system employed has good learning capability and computational performance. The results from neuro-fuzzy system are compared with previous approach.

입체영상을 이용한 로봇 제어시스템 (A Robot Control System Using Stereoscopic Image)

  • 고준호;양재석;김윤상
    • 디지털산업정보학회논문지
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    • 제5권3호
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    • pp.135-140
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    • 2009
  • In this paper, a robot control system with stereoscopic Image was presented. The robot control system has an auto-focusing functionality which measures the distance between robot and object using an infrared sensor. By providing depth and information based on the stereoscopic image, it allows user to have presence and immersion as if he(she) be there. the proposed robot control system's propriety was examined through the comparison experiment with the mono-scopic image.