Navigating safely in the home environment is the essential function of home robot . during the navigation , robot need to know its position and orientation in the environment . this process is global localization 家庭机器人的一个重要特点是要具有自主导航功能,而自主导航过程中机器人需要时刻知道自己当前在环境中所处的位置及方向,这个过程称为全局定位。
In the paper , we has simulated and experimented on the outcome of study , and get the satisfied experiment result , and proved the efficiency of arithmetic of the mobile robot ' s navigation and avoiding obstacle through the single camera 本文将理论研究成果进行了仿真研究和实验研究，均获得满意的实验结果，验证了本文提出的利用单视觉实现移动机器人自主导航和避碰算法的有效性。
Then , the relative position and attitude of the probe can be constructed . next , autonomous navigation algorithm based extended kalman filter is presented in order to estimate the probe state variables and suppress measurement noise effectively 接着给出了基于扩展卡尔曼滤波的自主导航算法,有效地估计了探测器的状态,抑制了测量噪声,并通过特征点跟踪与继承,解决了导航过程中特征点可能逸出相机视场的问题。
Making use of machine learning methods , especially reinforcement learning methods , to realize the optimization and the adaptiveness of the autonomous navigation controller for mobile robots becomes an important research topic not only in robotics but also in artificial intelligence 应用机器学习特别是增强学习方法实现移动机器人自主导航控制器的优化设计和对未知环境的自适应，是近年来机器人学和人工智能界的一个重要研究课题。
With the supports of lunar exploration pre - research program “ lunar soft landing integrative simulation and validation technique ” , this dissertation performed deep and systemic study on lunar explorer autonomous navigation and control issues . the main contents of this dissertation are as follows 本文结合月球探测工程二三期预研项目“月球软着陆综合仿真演示验证技术” ,对月球探测器的自主导航与控制方法进行了较深入的研究。
In order to realize the navigation of mobile robots , one of the key techniques is the position of mobile robot . only confirming the positions and orientions of mobile robots in a certain time , we will be able to control their next actions according to a series of definite requirements 实现移动机器人自主导航中的关键技术之一就是对机器人进行定位，只有确定了某一时刻机器人的位置和姿态，才能根据一定的动作要求对其下一步运动进行控制。
Abstract : the mechanism of vision automatic guided and automatic drive of farm working group and mechanism of achieving farm corn fertilizing at certain place in certain time with certain quantity fertilizer according to the recognized growing status of corn by machine vision were analyzed in the paper 文摘:分析了采用机器视觉识别大田玉米的生长状况进而实现大田玉米定时、定点、变量精确施肥和实现农业机组的视觉自主导航和无人驾驶的机理。
Selecting the image elements of earth and moon centers as observed quantity , measurement noise model and observed equations of autonomous navigation system are built up . the spacecraft orbit is determined by using the recursive weighted least square based on ud factorization 在奔选取地心和月心像素作为观测量,建立了符合实际情况的量测噪声模型和自主导航系统的观测方程,并利用基于ud分解的递推加权最小二乘算法估计了奔月探测器的轨道参数。
