• 제목/요약/키워드: Control Object

검색결과 2,602건 처리시간 0.025초

A Study on Real Time Control of Moving Stuff Action Through Iterative Learning for Mobile-Manipulator System

  • Kim, Sang-Hyun;Kim, Du-Beum;Kim, Hui-Jin;Im, O-Duck;Han, Sung-Hyun
    • 한국산업융합학회 논문집
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    • 제22권4호
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    • pp.415-425
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    • 2019
  • This study proposes a new approach to control Moving Stuff Action Through Iterative Learning robot with dual arm for smart factory. When robot moves object with dual arm, not only position of each hand but also contact force at surface of an object should be considered. However, it is not easy to determine every parameters for planning trajectory of the an object and grasping object concerning about variety compliant environment. On the other hand, human knows how to move an object gracefully by using eyes and feel of hands which means that robot could learn position and force from human demonstration so that robot can use learned task at variety case. This paper suggest a way how to learn dynamic equation which concern about both of position and path.

퍼지 제어기를 이용한 실시간 이동 물체 추적에 관한 연구 (Study on the Real-Time Moving Object Tracking using Fuzzy Controller)

  • 김관형;강성인;이재현
    • 한국정보통신학회논문지
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    • 제10권1호
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    • pp.191-196
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    • 2006
  • 본 논문에서는 비젼 시스템을 이용하여 이동 물체를 추적하는 방법을 제안하였다. 이동 물체를 계속적으로 추적하기 위해서는 이동 물체의 영상이 화상의 중심점 부근에 위치하도록 해야 한다. 따라서 이동 물체의 영상이 화상의 중심점의 부근에 위치하도록 하기 위하여 팬/틸트(Pan/Tilt)구조의 카메라 모듈을 제어하는 퍼지 제어기를 구현하였다. 향후, 시스템을 이동로봇에 적용하기 위하여 비젼 시스템을 위한 영상처리보드를 설계 제작하였고, 대상물체의 색상과 형태를 파악한 후 퍼지 제어기를 이용하여 카메라모듈이 물체를 추적할 수 있도록 StrongArm 보드를 이용하여 구성하였다. 그리고, 실험에 의해서 제안된 퍼지 제어기 가 실시간 이동물체 추적 시스템에 적용 가능함을 확인 하였다.

Adaptive Color Snake Model for Real-Time Object Tracking

  • Seo, Kap-Ho;Jang, Byung-Gi;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.740-745
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    • 2003
  • Motion tracking and object segmentation are the most fundamental and critical problems in vision tasks suck as motion analysis. An active contour model, snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects. Snake is designed no the basis of snake energies. Segmenting and tracking can be executed successfully by energy minimization. In this research, two new paradigms for segmentation and tracking are suggested. First, because the conventional method uses only intensity information, it is difficult to separate an object from its complex background. Therefore, a new energy and design schemes should be proposed for the better segmentation of objects. Second, conventional snake can be applied in situations where the change between images is small. If a fast moving object exists in successive images, conventional snake will not operate well because the moving object may have large differences in its position or shape, between successive images. Snakes's nodes may also fall into the local minima in their motion to the new positions of the target object in the succeeding image. For robust tracking, the condensation algorithm was adopted to control the parameters of the proposed snake model called "adaptive color snake model(SCSM)". The effectiveness of the ACSM is verified by appropriate simulations and experiments.

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검출기 융합에 기반을 둔 확률가정밀도 (PHD) 필터를 적용한 다중 객체 추적 방법 (Fusion of Local and Global Detectors for PHD Filter-Based Multi-Object Tracking)

  • 윤주홍;황영배;최병호;윤국진
    • 제어로봇시스템학회논문지
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    • 제22권9호
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    • pp.773-777
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    • 2016
  • In this paper, a novel multi-object tracking method to track an unknown number of objects is proposed. To handle multiple object states and uncertain observations efficiently, a probability hypothesis density (PHD) filter is adopted and modified. The PHD filter is capable of reducing false positives, managing object appearances and disappearances, and estimating the multiple object trajectories in a unified framework. Although the PHD filter is robust in cluttered environments, it is vulnerable to false negatives. For this reason, we propose to exploit local observations in an RFS of the observation model. Each local observation is generated by using an online trained object detector. The main purpose of the local observation is to deal with false negatives in the PHD filtering procedure. The experimental results demonstrated that the proposed method robustly tracked multiple objects under practical situations.

6 축 힘/모멘트센서를 이용한 구물체 잡기 손가락 힘측정장치 개발 (Development of Finger-force Measuring System with Six-axis Force/moment Sensor for Measuring a Spherical-object Grasping Force)

  • 김현민;윤정원;신희석;김갑순
    • 한국정밀공학회지
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    • 제27권11호
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    • pp.37-45
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    • 2010
  • Stroke patients can't use their hands because of the paralysis of their fingers. Their fingers are recovered by rehabilitating training, and the rehabilitating extent can be judged by grasping a spherical object. At present, the used object in hospital is only a spherical object, and can't measure the force of fingers. Therefore, doctors judge the rehabilitating extent by touching and watching at their fingers. So, the spherical object measuring system which can measure the force of their fingers should be developed. In this paper, the finger-force measuring system with a six-axis force/moment sensor which can measure the spherical-object grasping force is developed. The six-axis force/moment sensor was designed and fabricated, and the force measuring device was designed and manufactured using DSP (digital signal processing). Also, the grasping force test of men was performed using the developed finger-force measuring system, it was confirmed that the average force of men was about 120N.

Efficient Tracking of a Moving Object using Optimal Representative Blocks

  • Kim, Wan-Cheol;Hwang, Cheol-Ho;Lee, Jang-Myung
    • International Journal of Control, Automation, and Systems
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    • 제1권4호
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    • pp.495-502
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    • 2003
  • This paper focuses on the implementation of an efficient tracking method of a moving object using optimal representative blocks by way of a pan-tilt camera. The key idea is derived from the fact that when the image size of a moving object is shrunk in an image frame according to the distance between the mobile robot camera and the object in motion, the tracking performance of a moving object can be improved by reducing the size of representative blocks according to the object image size. Motion estimations using Edge Detection (ED) and Block-Matching Algorithm (BMA) are regularly employed to track objects by vision sensors. However, these methods often neglect the real-time vision data since these schemes suffer from heavy computational load. In this paper, a representative block able to significantly reduce the amount of data to be computed, is defined and optimized by changing the size of representative blocks according to the size of the object in the image frame in order to improve tracking performance. The proposed algorithm is verified experimentally by using a two degree-of- freedom active camera mounted on a mobile robot.

3축 힘센서를 이용한 구물체 잡기 손가락 힘측정시스템 개발 (Development of finger-force measuring system with three-axis force sensor for measuring a spherical-object grasping force)

  • 김현민;김갑순
    • 센서학회지
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    • 제19권3호
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    • pp.238-245
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    • 2010
  • Stroke patients can't use their hands because of the paralysis of their fingers. Their fingers are recovered by rehabilitating training, and the rehabilitating extent can be judged by grasping a spherical object. At present, the object used in hospital is only a spherical object, and can't measure the force of fingers. Therefore, doctors judge the rehabilitating extent by touching and watching at their fingers. So, the spherical object measuring system which can measure the force of their fingers should be developed. In this paper, the finger-force measuring system with a three-axis force sensor which can measure the spherical-object grasping force is developed. The three-axis force sensor is designed and fabricated, and the force measuring device is designed and manufactured using DSP(digital signal processing). Also, the grasping force test of men is performed using the developed finger-force measuring system, it was confirmed that the average force of men was about 120 N.

듀얼-핑거의 안정적 파지 운동 제어에 관한 연구 (A Study on Stable Grasping Motion Control of Dual-Finger)

  • 엄혁;최종환;김승수;한현용;양순용;이진걸
    • 한국공작기계학회논문집
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    • 제14권4호
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    • pp.81-88
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    • 2005
  • This paper attempts to derive the dynamic model of handling tasks in finger robot which grasps stable and manipulates a rigid object with some dexterity. Firstly, a set of differential equation describing dynamics of the manipulators and object together with geometric constraint of tight area-contacts is formulated by Lagrange's equation. Secondly, the roblems of controlling both the forces of pressing object and the rotation angle of the object under the geometric constraints are discussed. The effect of geometric constraints of area-contacts between the link's end-effector and the object is analyzed and the model based on the differential-algebraic equations is presented. In this paper, the control method for dynamic stable grasping and enhancing dexterity in manipulating things is proposed. It is illustrated by computer simulation and the experiment that the control system gives the performance improvement in the dynamic stable grasping and nimble manipulating of the dual fingers robot with soft tips.

객체지향언어를 이용한 통계적 공정관리 소프트웨어의 구현 (Implementation of Statistical Process Control Software developed by Object Oriented Tools)

  • 신봉섭
    • 품질경영학회지
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    • 제27권4호
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    • pp.256-265
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    • 1999
  • In this paper, we Present the implementation of statistical process control software by using XLISP-STAT which is a kind of object oriented language under Windows environment. This software can be used to generate the graphic objects for various control charts, histogram and plots using the full-down menu system. This software can also be used to calculate control limits, process capability indices and test procedures for normality.

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Signal Generation for Automatic Control of a Monitoring Camera

  • Kim, Jin-Tae;Oh, Jeong-Su
    • Journal of information and communication convergence engineering
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    • 제7권4호
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    • pp.551-555
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    • 2009
  • This paper proposes a signal generation method for automatic control of a monitoring camera. Using the control signal, the monitoring camera can track a moving object and keep it near the image center for a longer time. The proposed method is estimated in the experiments that automatically move a maker located at the specified position to the image center.