In this paper, a wheeled mobile robot system consisting of a tractor and N-1 trailers is studied.
本文研究由一个牵引车和N - 1个拖车所组成的移动机器人系统的动力学。
This paper studies mainly a wheeled mobile robot drive system with modeling method proposed based on combination of neural network analysis and experiment.
以轮式移动机器人驱动系统为主要研究对象，提出一种基于神经网络的分析与试验相结合的建模方法。
A new model of the wheeled mobile robot called difference driven model is proposed in this thesis.
本文提出了一种新的轮式移动机器人模型——差分驱动模型。
Tractor trailer wheeled mobile robot system is composed of a tractor and multiple trailers, its motion trajectories are much more complex than that for single body robot.
带拖车的轮式移动机器人系统由一节牵引车拖挂若干节拖车构成，其运动轨迹具有单车体机器人无法比拟的复杂性。
This paper analyzes the torque disturbance of the wheeled mobile robot due to dynamic uncertainties during motion and presents a sensor based control method for the mobile robot.
本文分析了轮式移动机器人在运行过程中由于动力学不确定性引起的力矩扰动，并提出了一种基于传感器的移动机器人控制方法。
The thesis made a comprehensive study on control system of wheeled and six-bar compound mobile robot.
本文针对自主研发的轮式与六杆机构复合移动机器人的控制系统方面进行深入的研究。
With the macro motion mode, the robot is a typical wheeled mobile robot and with the micro motion mode the robot is an inchworm robot.
机器人在宏运动状态下为典型的轮式机器人，在微运动状态下为尺蠖运动机器人。
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.
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.
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。
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