In this paper, a real time visual servo control system for robotic manipulators is presented.
提出了机械手的实时视觉伺服控制系统。
Trajectories of feature points on image plane were predicted by image-based visual servo method.
用基于图象的视觉伺服方法来预测特征点在图象平面的运动轨迹。
This paper investigates the method for implementing visual servo control of robotic micromanipulator.
本文介绍了实现微操作机器人视觉伺服控制的方法。
A position estimation scheme in visual servo system with single camera mounted on a robot is proposed.
提出了单摄像机安装在机器人上的视觉伺服系统的位置估计方法。
Proposes a new method of estimating Jacobian matrixes on-line for image-based robot visual servo systems.
研究基于图像的机器人视觉伺服技术中雅可比矩阵的在线估计方法。
A visual servo scheme is employed for the closed loop mode, while astronomy theory is used for the open loop mode.
其闭环工作模式采用了视觉伺服控制方法，开环工作模式则采用了天文跟踪方法；
The paper lucubrates the theory and realized methods of the visual servo control on the orthogonal coordinate robot.
本论文深入研究了直角坐标机器人视觉伺服理论及实现方法。
The tracking system of lunar rover is a complex device which track and guide for lunar rover by visual servo control.
月球车跟踪装置是一种位于着陆器上，借助于视觉伺服控制来实现对月球车跟踪及导航的装置。
Network based visual servo system of the orthogonal coordinate robot was proposed, in order to implement grasping job.
为了实现定位抓取任务，提出基于网络的直角坐标机器人视觉控制系统。
The visual servo and control system for welding seam tracking were validated by experiment, the feasibility also been proved.
通过实验对焊缝跟踪视觉伺服控制系统进行了验证，说明了该系统的可行性。
In this paper, we study and discuss the two aspects of the visual servo system control structure and stereo vision calibration.
本文主要从视觉伺服系统的控制结构和立体视觉标定这两方面进行研究和探讨。
Due to the low speed in computer image processing, the application of visual servo control for robotic manipulators is limited.
由于计算机图象处理的速度比较慢，影响了机器人视觉系统的应用。
Robot visual servo control is a fundamental research subject with very important theoretical research sense and industry application prospect.
机器人视觉伺服控制是一个具有重要理论研究意义和广阔工业应用前景的基础性研究课题。
This paper introduces the architecture of an image-based visual servo robot system and the algorithm implemented to track a target with planar motion.
提出了一种基于图像的视觉伺服机器人系统的结构，以及该系统跟踪平面运动目标的算法。
The results of experiments show that the robotic visual servo system based on fuzzy control has quick response speed, high steady accuracy and good robustness.
实验结果表明基于模糊控制的机器人视觉伺服系统具有较快的响应速度和较强的鲁棒性。
Robot visual servo system involves a wide range of content, for example image processing, kinematics, dynamics, control theory, real-time calculation and so on.
实现机器人的视觉伺服系统涉及到图象处理、运动学、动力学、控制理论、实时计算等多方面的内容。
In dynamic visual servo, the robot acceleration and joint's torque are calculated based on vision detection result to realize the force servo of machine vision.
在动力学视觉伺服中，根据视觉检测结果，计算机器人的加速度和关节转矩，实现机器视觉的力反馈作用。
An introduction is provided for the image-based visual servo system of three-dof planar robot combined with DSP image processing system and FCMAC control method.
以三自由度平面机器人为研究对象，采用DSP图像处理系统，并将FCMAC控制方法应用到基于图像的机器人视觉伺服系统中。
Visual servo system can be used in the control systems of robot original orientation guiding, obstacle avoiding, trajectory tracking and moving object tracking, etc.
视觉伺服可以应用于机器人初始定位自动导引、自动避障、轨线跟踪和运动目标跟踪等控制系统中。
The key to track the moving object exactly is how to recognize the target of the sequential digital image quickly and accurately in the robot control system by visual servo.
在基于视觉伺服的机器人控制中，准确跟踪动态目标的关键在于快速准确地完成连续图像中的目标辨识。
In the robotic visual servo system based on the position, it is need to build an image Jacobian which transforms two-dimensional image information to three-dimensional coordinate information.
在基于位置的视觉伺服中，需要建立将二维图像信息转换为三维坐标信息的图像雅可比矩阵。
A robotic visual servo control based on active contour is presented, which combines the active contour with the image optical flow for tracking image contours related to the object of interest.
将活动轮廓和光流模型相结合用于运动物体图像的实时跟踪，以抽取物体图像的边缘信息，并以此信息控制摄像机的运动，达到机器人定位、跟踪等目的。
Floating object tracking in the whole working space of a camera can be obtained through selecting image features, and Kalman filtering control was adopted to realize visual servo control of robot.
通过适当的选取图像特征，实现了摄像机工作空间运动目标跟踪的视觉伺服任务，并采用扩展卡尔曼滤波控制方法完成机器人视觉伺服控制。
In order to solve this problem, a robotic visual servo system is analyzed, and an augmented reality registration algorithm based on natural feature with virtual visual servo technology is proposed.
文中在深入研究机器人视觉伺服系统的基础上，提出了利用虚拟视觉伺服技术、基于自然特征的增强现实注册算法。
In order to solve this problem, a robotic visual servo system is analyzed, and an augmented reality registration algorithm based on natural feature with virtual visual servo technology is proposed.
文中在深入研究机器人视觉伺服系统的基础上，提出了利用虚拟视觉伺服技术、基于自然特征的增强现实注册算法。
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