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robot相关的网络例句

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The purpose of the work documented in this thesis is to develop a human-robot interaction control system for an autonomous mobile robot.

摘要 本文的研究目标为开发自主行动机器人的人机互动的控制系统。

Based on the analysis of the mechanism of robot manipulators, a trajectory tracking controlling research model is first built up with ADAMS, and its mathematical model is formulated through the study of robot kinematics and dynamics. After the modeling errors are analyzed in practical robotic systems, a conception of centralized error is brought forward according to the theory of weighting functions. In the case of modeling errors' exist, the robotic uncertain model is derived by introducing an auxiliary control variable into inverse dynamic analysis. The control strategy of robust exponential convergence is applied to the robotic uncertain model, the applicable conditions and the applicable controller with this application are presented. The stable control effect under three main model uncertainties (parametric errors, joint disturbs, joint frictions) are systematically studied on the previously built research model. The problems of robust exponential convergence controller which often results in unstable output and so produces a large relative error when the input trajectory is in a small range are resolved by adjusting the control parameters based on the controller's structure.

本文在机械手的机械结构分析基础上,利用ADAMS建立了用于机械手轨线跟踪控制研究的机械手模型;通过对机器人运动学和动力学问题的研究,建立了机械手研究的数学模型;分析了机器人系统中模型误差的主要来源,根据加权函数法分析,提出了模型集中误差的概念;在存有模型误差的情况下,采用逆动力学结构并引入辅助控制量,由机器人误差模型推导了机器人非确定性模型;提出了采用鲁棒指数收敛法对上述机器人非确定性模型进行鲁棒镇定的控制策略,并给出了对机器人进行鲁棒指数收敛控制时系统不确定因素应满足的匹配条件;针对机械手研究模型,深入研究了鲁棒指数收敛控制器对机器人系统中常见的模型参数误差、关节扰动、关节摩擦等不确定因素的镇定控制效果;针对鲁棒指数收敛控制器易产生控制量振荡的问题以及在小范围内系统轨线跟踪的稳态误差过大问题,本文分别提出了基于控制器结构的控制参数调整法和基于轨线跟踪范围大小的控制参数分段切换法。

Six degrees of freedom were appended to the base of space robot when space robot is in free-floating state.

第三、针对自由漂浮空间机器人,提出了一种计算其运动学问题的新方法。

With the aid of noise reduction, color threshold segmentation and center point computation and so on, the landmarks in the panoramic image were recognized. By using triangulation method, the robot's position was obtained, which was a good basis for the navigation and the collision of robot.

通过去除全景图像的噪声、分割颜色阈值、计算中心点等处理,识别出机器人周围景物的已知路标,采用三角定位法,计算出机器人的坐标,从而为机器人的导航、避碰等任务奠定良好的基础。

Firstly, the development of the spherical robot is introduced and according to the knowledge of the research forepassed, the nonholonomy and the nonlinear controllability for a spherical robot based on the principle of angular momentum conservation are discussed with the differential geometric control theory.

首先介绍了球形机器人的发展状况,在了解前人研究领域的基础上,应用微分几何控制理论,对此角动量守恒的球形机器人的非完整性和非线性可控性进行了研究。

The tangent space and normal space of the robot motion curve is constructed by using Newton-Euler orthogonal method, which satisfies the restrictions of linear and angular momentum conservation of free-floating space robot system. An analytical expression of joint actuation torque in the floating state is given by using this method.

根据空间机器人自由漂浮状态时系统动量守恒的特点,采用Newton-Euler正交方法构建了满足系统动量守恒约束条件的空间机器人运动曲线法空间与切空间基底,并以此基础得到了自由飘浮状态下的空间机器人关节力矩的显式表达式。

The cumulative error of the robot is compensated effectively and the mobile robot trajectory distortion is reduced.

并对移动机器人累计误差进行了有效的补偿,减少了由于累积误差造成的移动机器人轨迹扭曲失真。

Current coordinates of the robot cleaner are aligned with reference coordinates of the recharging station, and the robot cleaner moves to a previous spot where it was before it returns to the recharging station, and resumes the work from where it stopped.

机器人清洁器的当前坐标以充电站的参考坐标被校准,而机器人清洁器移动到它返回充电站前所在的先前地点,并从停止处继续给定的工作。

In other words, localization can be performed based on a general scene. In this thesis, we adopt Spatial Gaussian Mixture Model in image segmentation to describe an image viewed by the robot in spatial domain without any artificial landmark. Secondly, we use a modified combination algorithm by Cyr and Kimia to combine similar data. It is found out that a monotonic relationship exists among the scene registered and its neighborhood in terms of distance. This phenomenon can be used to assist to localize the robot and this work demonstrate the feasibility by several experiments.

本论文中采用高斯混合模型(Gaussian Mixture Model, GMM)来描述空间中的场景,将场景概念化,这样任意的场景皆可以用高斯混合模型来表达,而无需加入大量的人工场景,接著将所获取的每个希望校正点的资料采用由修改后的Cyr and Kimia的结合演算法来减低及统合资料,当场景接近原本的当初建立的场景,经由最大可能性大体上会呈现单调的特色,将辅助机器人修正回原本的位置,以达到协助机器人定位的目标。

Finally, the change of joint angular velocity of the supporting leg is deduced based on the Lagrange dynamic equation when a foot of the robot collides with the ground.3, Dynamic stability conditions of the robot in stance phase and flight phase are derived based on the D\'Alembert principle.

这种动力学方程由微分方程和代数约束方程组成,其优点是通过稍微修改约束方程和雅克比矩阵,就可以方便地建立各自动力学方程,建模速度快、精度高。

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