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。
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。
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。
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。
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。
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。
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。
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。
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。
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