• 제목/요약/키워드: Robot Tracking

검색결과 1,013건 처리시간 0.03초

초음파 위치 센서를 이용한 차량 로봇의 경로 추종에 관한 연구 (A Study for Path Tracking of Vehicle Robot Using Ultrasonic Positioning System)

  • 윤석민;여태경;박성재;홍섭;김상봉
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.795-800
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    • 2008
  • The paper presents research for the established experiment environment of multi vehicle robot, localization algorithm that is based on vehicle control, and path tracking. The established experiment environment consists of ultrasonic positioning system, vehicle robot, server and wireless module. Ultrasonic positioning system measures positioning for using ultrasonic sensor and generates many errors because of the influence of environment such as a reflection of wall. For a solution of this fact, localization algorithm is proposed to determine a location using vehicle kinematics and selection of a reliable location data. And path tracking algorithm is proposed to apply localization algorithm and LOS, finally, that algorithms are verified via simulation and experimental

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퍼지 위험지수에 의한 이동로봇의 물체 추적 및 장애물 회피 주행 제어기 (A Simultaneous Object Tracking and Obstacles Avoidance Controller with Fuzzy Danger Factor of Mobile Robot)

  • 강재구;이중재;지민석;유범재
    • 로봇학회논문지
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    • 제2권3호
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    • pp.212-220
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    • 2007
  • This paper proposes a method of avoiding obstacles and tracking a moving object continuously and simultaneously by using new concepts of virtual tow point and fuzzy danger factor for differential wheeled mobile robots. Since differential wheeled mobile robot has smaller degree of freedom to control and are non-holonomic systems, there exist multiple solutions (trajectories) to control and reach a target position. The paper proposes 'fuzzy danger factor' for obstacles avoidance, 'virtual tow point' to solve non-holonomic object tracking control problem for unique solution and three kinds of fuzzy logic controller. The fuzzy logic controller is policy decision controller with fuzzy danger factor to decide which controller's result is more valuable when the mobile robot is tracking a moving object with obstacles to be avoided.

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Neural Network Compensation for Impedance Force Controlled Robot Manipulators

  • Jung, Seul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제14권1호
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    • pp.17-25
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    • 2014
  • This paper presents the formulation of an impedance controller for regulating the contact force with the environment. To achieve an accurate force tracking control, uncertainties in both robot dynamics and the environment require to be addressed. As part of the framework of the proposed force tracking formulation, a neural network is introduced at the desired trajectory to compensate for all uncertainties in an on-line manner. Compensation at the input trajectory leads to a remarkable structural advantage in that no modifications of the internal force controllers are required. Minimizing the objective function of the training signal for a neural network satisfies the desired force tracking performance. A neural network actually compensates for uncertainties at the input trajectory level in an on-line fashion. Simulation results confirm the position and force tracking abilities of a robot manipulator.

LQG 시각추종제어기를 이용한 로봇매니퓰레이터의 제어 (Control of Robot Manipulators Using LQG Visual Tracking Cotroller)

  • 임태헌;전향식;최영규;김성신
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.2995-2997
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    • 1999
  • Recently, real-time visual tracking control for a robot manipulator is performed by using a vision feedback sensor information. In this paper, the optical flow is computed based on the eye-in-hand robot configuration. The image jacobian is employed to calculate the rotation and translation velocity of a 3D moving object. LQG visual controller generates the real-time visual trajectory. In order to improving the visual tracking performance. VSC controller is employed to control the robot manipulator. Simulation results show a better visual tracking performance than other method.

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비행로봇의 항공 영상 온라인 학습을 통한 지상로봇 검출 및 추적 (UGR Detection and Tracking in Aerial Images from UFR for Remote Control)

  • 김승훈;정일균
    • 로봇학회논문지
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    • 제10권2호
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    • pp.104-111
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    • 2015
  • In this paper, we proposed visual information to provide a highly maneuverable system for a tele-operator. The visual information image is bird's eye view from UFR(Unmanned Flying Robot) shows around UGR(Unmanned Ground Robot). We need UGV detection and tracking method for UFR following UGR always. The proposed system uses TLD(Tracking Learning Detection) method to rapidly and robustly estimate the motion of the new detected UGR between consecutive frames. The TLD system trains an on-line UGR detector for the tracked UGR. The proposed system uses the extended Kalman filter in order to enhance the performance of the tracker. As a result, we provided the tele-operator with the visual information for convenient control.

6$\times$6 이동로봇의 경로추종을 위한 동역학 시뮬레이션 (Full Dynamic Model in the Loop Simulation for Path Tracking Control of a 6$\times$6 Mobile Robot)

  • 허진욱
    • 한국군사과학기술학회지
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    • 제11권4호
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    • pp.141-148
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    • 2008
  • In this paper, we develop a detailed full dynamic model which includes various rough terrains for 6-wheel skid-steering mobile robot based on the real experimental autonomous vehicle called Dog-Horse Robot. We also design a co-simulation for performance comparison of path tracking algorithms. The control architecture in the co-simulation can be divided into two levels. The high level control is the closed-loop control of path tracking to follow a given path, and the low level is concerned about torque control of wheel motion. The simulation using the mechanical data of the Dog-Horse Robot is performed under the Matlab/Simulink environment. We also simulate and evaluate the performance of the model based adaptive controller.

인공지능 공간상의 다중객체 구분을 위한 컬러 패턴 인식과 추적 (Color Pattern Recognition and Tracking for Multi-Object Tracking in Artificial Intelligence Space)

  • 진태석
    • 한국산업융합학회 논문집
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    • 제27권2_2호
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    • pp.319-324
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    • 2024
  • In this paper, the Artificial Intelligence Space(AI-Space) for human-robot interface is presented, which can enable human-computer interfacing, networked camera conferencing, industrial monitoring, service and training applications. We present a method for representing, tracking, and objects(human, robot, chair) following by fusing distributed multiple vision systems in AI-Space. The article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguous conditions. We propose to track the moving objects(human, robot, chair) by generating hypotheses not in the image plane but on the top-view reconstruction of the scene.

입 추적을 이용한 로봇 원격 제어 시스템 (Hands-free Robot Control System Using Mouth Tracking)

  • 왕량;서영철;민하즈;이필규
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(C)
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    • pp.405-408
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    • 2011
  • In this paper, we propose a robot remote control system based on mouth tracking. The main idea behind the work is to help disabled people who cannot operate a joystick or keyboard to control a robot with their hands. The mouth detection method in this paper is mainly based on the Adaboost feature detection approach. By using the proposed new Haar-like features for detecting the corner of mouth, the speed and accuracy of detection are improved. Combined with the Kalman filter, a continuous and accurate mouth tracking has been achieved. Meanwhile, the gripping commands of the robot manipulator were also achieved by the recognition of the user.s mouth shape, such as 'pout mouth' or 'grin mouth'. To assess the validity of the method, a mouth detection experiment and a robot cargo transport experiment were applied. The result indicated that the system can realize a quick and accurate mouse tracking; and the operation of the robot worked successfully in moving and bringing back items.

중수형 원자로 급수 배관 검사용 자율 주행형 자벌레 로봇 (Inch-Worm Robot with Automatic Pipe Tracking Capability for the Feeder Pipe Inspection of a PHWR)

  • 최창환;박병석;정현규;정승호
    • 제어로봇시스템학회논문지
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    • 제14권2호
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    • pp.125-132
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    • 2008
  • This paper describes a mobile inspection robot with an automatic pipe tracking system for a feeder pipe inspection in a PHWR. The robot is composed of two inch worm mechanisms. One is for a longitudinal motion along a pipe, and the other is for a rotational motion in a circumferential direction to access all of the outer surfaces of a pipe. The proposed mechanism has a stable gripping capability and is easy to install. An automatic pipe tracking system is proposed based on machine vision techniques to make the mobile robot follow an exact outer circumference of a curved feeder pipe as closely as possible, which is one of the requirements of a thickness measurement system for a feeder pipe. The proposed sensing technique is analyzed to attain its feasibility and to develop a calibration method for an accurate measurement. A mobile robot and control system are developed, and the automatic pipe tracking system is tested in a mockup of a feeder pipe.

로봇 매니퓰레이터의 불확실성 보상을 위한 퍼지­-뉴로 제어 (A Fuzzy-Neural Control for Uncertainty Compensation of Robot Manipulator)

  • 박세준;양승혁;황문구;양태규
    • 한국정보통신학회논문지
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    • 제7권8호
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    • pp.1759-1766
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    • 2003
  • 본 논문에서는 로봇 매니퓰레이터의 궤적 추종 제어에 관한 연구를 위하여 뉴로­퍼지 제어기를 제안하였다. 궤적 추종 제어기를 설계할 경우, 주로 이용되는 효과적인 방법은 토크 계산 제어 방식이다. 그러나, 로봇 매니퓰레이터에 의한 불확실성 문제로 인하여 토크 계산 제어 방식만으로는 좋은 제적 추종 성능을 얻을 수가 없다. 그러므로, 본 논문에서는 로봇 매니퓰레이터에서 발생한 불확실성을 보상하기 위하여 제안된 뉴로­퍼지 제어기를 이용하였다. 뉴로­퍼지 제어기에서의 퍼지 규칙의 수를 49개로 설정하였으며, 2관절 로봇 매니퓰레이터를 이용한 컴퓨터 시뮬레이션을 통해 제어기의 효율성을 입증하였다. 그 결과. 제안된 뉴로­퍼지 제어기의 출력이 로봇 매니퓰레이터에서 발생한 불확실성을 효과적으로 감소시킬 수 있음을 확인할 수 있었다.