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robot eye
相关语句
  机器人眼
     ROBOT EYE/HAND SYSTEM COORDINATED BY NEURAL NETWORKS
     神经网络算法在机器人眼手系统中的应用
短句来源
     First,we introduce the Robot Eye/Hand System.
     首先,简单介绍了机器人眼手系统。
短句来源
  “robot eye”译为未确定词的双语例句
     Research on the Calibration of Robot Eye in Hand Vision Based on Parameters Separation
     基于参数分离机器人手眼视觉标定方法研究
短句来源
  相似匹配句对
     eye;
     眼睛;
短句来源
     Robot
     机器人
短句来源
     Robot Hand-Eye Coordination with Direct Image Feedback
     机器人手眼协调的图象直接反馈方法
短句来源
     Eye & leg
     你是我的眼,我是你的腿
短句来源
     ROBOT DYNAMIC HAND-EYE COORDINATION BASED ON ONLINE RECOGNITION
     基于在线识别的机器人动态手眼协调
短句来源
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  robot eye
My goal in this project was to use an edge-based algorithm to identify a black-and-white soccer ball in robot-eye images of game scenes.
      
Finally, the GUI can request camera images from particular robots, to give the user a robot-eye-view of the situation.
      


In this paper we study the neural network method applicd to the position control of a 3 DOF robot.First,we introduce the Robot Eye/Hand System.Next,we utilize the self-consistence learning algorithm ncural network proposed by Kuperstein and Robinstcin to realize the Inverse kincmatic equation of the system.Based on the intensive Information fusion ability of neural networks,we suggest the three viewsmethod for stcrco vision.We also use the multi-layered backpropagation ncural network for learning,andcompare...

In this paper we study the neural network method applicd to the position control of a 3 DOF robot.First,we introduce the Robot Eye/Hand System.Next,we utilize the self-consistence learning algorithm ncural network proposed by Kuperstein and Robinstcin to realize the Inverse kincmatic equation of the system.Based on the intensive Information fusion ability of neural networks,we suggest the three viewsmethod for stcrco vision.We also use the multi-layered backpropagation ncural network for learning,andcompare the effect with that of the single—layered nctwork.Simulations show the efficiency of the pro-poscd technique.

本文研究了神经网络方法在三自由度机械手位置控制中的应用。首先,简单介绍了机器人眼手系统。接着,采用Kuperstein和Robinstein算法来实现该系统的逆运动学方程。基于神经网络具有很强的信息综合能力的特点,提出了立体视觉的三视图的新思想。本文还采用多层回传网络进行训练,并与单层网络进行了比较。仿真结果验证了本文方法的正确性。

By thoroughly study on Martinetz, Ritter and Schulten's self-organizing 3-D neural network, an improved scheme is proposed in this paper. The 3-D self-organizlng neural network has been applied to robot eye-hand systems. The computer simulations show that this method is better than the original method of M. R. S. in self-organizing capability and precision in training process.

本文通过深入分析Martinetz,Ritter和Schulten的自组织三维神经网络,提出了改进方案,研究了三维自组织网络在机器人眼手协调控制中的应用。计算机仿真结果表明,本文方法比M.R.S.的方法具有更好的自组织能力和更高的控制精度。

The imaging model of the camera is analyzed;the calibration principle of robot eye-in-hand system is discussed.Based on this principle,a calibration method for eye-in-hand system is schemed out.Compared with the traditional method in which the inner and outer parameters of the camera should be calibrated in advance,the experiments prove that this algorithm is quick and convenient to be applied;the experimental procedure is simple and it has high precision.It can be used to locate and track a moving...

The imaging model of the camera is analyzed;the calibration principle of robot eye-in-hand system is discussed.Based on this principle,a calibration method for eye-in-hand system is schemed out.Compared with the traditional method in which the inner and outer parameters of the camera should be calibrated in advance,the experiments prove that this algorithm is quick and convenient to be applied;the experimental procedure is simple and it has high precision.It can be used to locate and track a moving object in robot vision system.

对摄像机成像模型进行了分析,论述了机器人手眼系统标定原理。在此基础上,不改变机器人的外臂与基坐标系的旋转关系,设计了一种机器人手眼视觉的标定方法,与传统的方法比较,它不需要预先标定摄像机的内外参数。实验证明:该方法具有算法方便快捷、实验过程简单易行,且精度高等优点,可用于机器人进行运动目标定位与跟踪。

 
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