只需在笔记本电脑上轻轻敲击一下键盘，我们就能通过无线网络向工作单元发送信号，进而控制机器人的行动。
With just a few keystrokes on the laptop keyboard we could steer the robot by sending signals over our wireless network to the laptop on the unit.
库马希望在五年内能将一个机器人控制的网络小组应用到战场上。
Within five years Kumar hopes to put a networked team of robotic vehicles in the field.
在任何有网络连接的地方，他都可以远程控制这个机器人视察整个房间，并将视察的结果以视频的形式显示在他的电脑屏幕上。
From anywhere with a Net connection, he can send his robot zipping around the house, returning a video signal along the way.
这样，无数的机器人，机器和控制器就通过光纤连接直接连接到网络中。
Via these, numerous robots, machines and controls are directly connected with the network via the fibre optic connections.
本论文对人工神经网络理论及其在空间机器人系统控制中的应用作了研究。
The theory of artificial Neural Network and its application in space robot control are studied in this thesis.
将本控制网络应用于自主研发的水下机器人，成功完成了湖试检验。
This control network was used in underwater vehicle which was developed by us and completes the lake trial successfully.
称之为“居家看护机器人R1”，由电脑控制传输信号至机器人通过标准化的网络连接。
It's called "Telenoid R1" and is controlled by a computer which sends signals to the robot via a standard Internet connection.
本文就机器人网络遥操作系统及基于事件的控制方法进行了研究。
This thesis presents the researches of on teleoperation of Internet based robots and event based control scheme.
提出一种新的基于神经网络的机器人模型参考自适应控制方法。
A new robot model reference adaptive control method based on neural networks is presented.
采用模糊神经网络结合常规PD控制器的方法来进行机器人的运动控制，提出了提取模糊规则的方法。
Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.
针对空间冗余机器人运动学控制中正、逆运动学求解的复杂性，采用神经网络从两方面解决这一问题。
Neural network is used in this paper to solve the problem of kinematics and inverse kinematics in kinematical control of spatial redundant robots.
针对机器人动力学模型的不确定性和负载扰动，提出了一种采用神经网络的机器人迭代学习控制方法。
Aiming at dynamic model uncertainties and load disturbances of robot manipulators, an iterative learning control scheme using neural networks is presented.
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。
Network based visual servo system of the orthogonal coordinate robot was proposed, in order to implement grasping job.
网络控制系统广泛应用于自动化制造工厂、电厂、机器人、高级航天航空器和电气化运输工具。
Networked control systems can be found in industrial automation, building automation, power plant, robot, intelligent vehicle systems, advanced aircraft and spacecraft.
因此，此类神经网络非常适合于机器人运动学模型辨识及运动控制。
Therefore, the neural network is very suitable for the kinematic model identification and motion control of manipulator.
提出了一种用于动力学都分已知柔性连杆机器人的多速率神经网络自适应混合控制墨。
A multirate composite neural controller is presented in this paper for the trajectory tracking control of a flexible-link robot with a partially known nonlinear dynamics.
该系统由采用远程网络控制技术的管道机器人移动机构、无损检测传感器和地面工作站等组成。
It is composed of a pipe robot crawling mechanism controlled by remote network system, nondestructive examination sensor system, ground working station and so on.
采用动态对角回归神经网络作为辨识器和控制器，实现了机器人轨迹跟踪的最小误差控制。
Using dynamic recurrent neural networks as identification and controller, the minimum error control of robot tracking the idea locus is implemented.
本论文以实现具有类人反应的服务机器人为目标，研究了服务机器人的神经网络力控制器的实现问题。
This thesis investigates the problem of the realization of a neural network force controller for a service robot, which aims at a human-like service robot.
提出一种模糊神经网络控制器并用于机器人轨迹跟踪控制。
A fuzzy neural network is proposed for robot tracking control.
提出一种模糊神经网络控制器并用于机器人轨迹跟踪控制。
A fuzzy neural network was proposed for robotic tracking control.
针对数学模型复杂的轮式机器人的转向控制问题，使用基于遗传算法的模糊神经网络转向控制方法。
As the mathematic model of the wheeled mobile robot is very complicated, a GA (genetic algorithms) fuzzy neural network method is presented for its steering control.
对服务机器人实施力控制，要求实时性较高，采用神经网络的硬件实现方式实施控制，才能使系统达到更好的性能。
Implementing force control for a service robot calls for high real-time characteristic. Using hardware neural network to implement control can achieve better performance.
利用神经网络实现模糊推理，运用了一种模糊高斯基函数神经网络，并用于两关节机器人的轨迹跟踪控制。
The fuzzy inference is realized by neural network, a fuzzy Gauss function neural network is used for two-joint robot tracking control.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
然后，提出了利用神经网络的方法对核电站检修机器人进行智能控制。
Then, made use of neural networks approach to the maintenance and inspection robot for intelligent control;
针对双足机器人控制问题，提出了一种基于模糊神经网络的混杂控制方法。
The paper presents a fuzzy neural networks hybrid control of biped robot control problem.
互联网的飞速发展有力地促进着网络技术在机器人控制领域的应用。
The rapid development of Internet has greatly promoted the application of web technology in the robot control field.
网络机器人是目前机器人控制研究领域的前沿课题。
The Internet-based robot is a popular topic in robot control research recently.
提出了一种末杆为柔性杆的机器人的新型神经网络控制方法。
A novel neural networks control approach for manipulator with flexible end link was proposed.
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