本文介绍了实现微操作机器人视觉伺服控制的方法。
This paper investigates the method for implementing visual servo control of robotic micromanipulator.
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 paper lucubrates the theory and realized methods of the visual servo control on the orthogonal coordinate robot.
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。
Proposes a new method of estimating Jacobian matrixes on-line for image-based robot visual servo systems.
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。
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.
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。
Robot visual servo control is a fundamental research subject with very important theoretical research sense and industry application prospect.
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.
同时也进一步证明：基于特征的机器人视觉伺服控制是未来机器人视觉服控制研究中一个很有发展潜力的研究方向。
Further, it is seen that robot visual servoing based on the features will be a direction with quite development potentiality for the future robot visual servoing control.
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。
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.
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。
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.
建立了一种基于视觉位姿的机器人视觉伺服系统，该系统通过检测目标的位姿状态，从而实时监控和跟踪运动目标，实现对运动目标的相对距离和瞬时速度的动态检测。
A new method of visual location of mobile robot is put forward, and it can measure the relative distance between the mobile robot and goal by objective image.
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。
This paper introduces the architecture of an image-based visual servo robot system and the algorithm implemented to track a target with planar motion.
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。
Visual servo system can be used in the control systems of robot original orientation guiding, obstacle avoiding, trajectory tracking and moving object tracking, etc.
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。
A position estimation scheme in visual servo system with single camera mounted on a robot is proposed.
该机器人系统由三自由度头部机构及伺服系统、弹出机构、视觉系统、GPS系统、通讯系统组成。
It is composed of the head-machine having three degree of freedom and servo system, GPS system, communication system, tilt system and video display system.
主控软件采用多文本-视图结构，集成了生产线控制、机器人控制、视觉伺服和项目管理等功能。
Multi document-view structure is used to realize the main control software, which integrates the control of product line and robot, robot vision servo and project management of production.
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。
Robot visual servo system involves a wide range of content, for example image processing, kinematics, dynamics, control theory, real-time calculation and so on.
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。
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.
搭载非标自动化的机器视觉以及伺服系统和变频器控制集成机器人等可提供更智能化的解决方案。
Equipped with non-standard automation machine vision and vision servo system and inverter control integrated robot can provide solutions and more intelligent.
而机器人控制系统将对接收回来的反馈信息拆包解密，结合机器人的当前状态，运用视觉伺服机器人数学模型控制机器人到达相应的位置。
The robotic control system will drive the robot to the proper position according to the feedback data and the current state of the robot.
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。
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。
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.
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