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基于卡尔曼滤波的机器人定位及地图创建（salm），对1D、2D、3D等情况分别进行仿真-Kalman filter-based robot localization and map building (salm), on the 1D, 2D, 3D, etc. were simulated
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Extended Kalman Filter for robot localization, mapping, SLAM. Matlab 仿真机器人应用扩展卡尔曼滤波器localization, mapping, SLAM.-Extended Kalman Filter for robot localization, mapping, SLAM. Matlab simulation of the application of extended Kalman filter robot locali
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移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第一部分-Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summer training materials, a total of three code package, includi
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移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第二部分，主要是关于数据关联（data association）的.-Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summer training materials, a total
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这是移动机器人同时定位与地图创建的第三部分，主要是关于信息滤波器的（Information filter）-This is a mobile robot localization and mapping at the same time to create the third part, focusing on the information filter (Information filter)
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采用EKF实现移动机器人在全局地图中的自定位-EKF used for mobile robot self-localization
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机器人定位与kalman滤波的学位论文与源程序-Robot localization and kalman filtering and source of dissertation
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A robot localization algorithm based on Extended Kalman Filter (EKF). Matlab code.
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We are researching robot localization techniques which fuse dead reckoning measurements with range measurements from stationary radio beacons in the robot s environment.
This site provides Matlab code for three algorithms explored thus far -- an
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MATLAB-based simulators for mobile robot Simultaneous Localization and Mapping
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语音分离的研究在语音通信、声学目标检测、声音信号增强等方面有着重要的理论意义和实用价值。而将语音分离技术应用到智能机器人中。让机器人具有智能的听觉，实现声源定位和分离，确定说话人个数，进行人机对话等方面更具有广阔的应用前景。 -Separation of speech in voice communications, acoustic target detection, sound signal enhancement, and so has important theoretical sign
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华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM-You are to write a particle filter and a Kalman filter for robot localization. The scr ipt generates motion information according
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使用EKF和粒子滤波在简单的平台上实现定位，是本人在华盛顿大学机器人课程作业的基础上编写完成的，可以作为滤波和移动机器人定位的基础教程使用。
Author：Wilford Wang
PS. 可以先下载本人之前上传的Project-1.rar(华盛顿大学的课题作业)，自行编写，再与我写的程序做比较，可以达到比较好的学习效果。-Using the EKF and particle filter in a simple platform for location, is my course w
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机器人定位中的EKF-SLAM算法，用扩展卡尔曼滤波的方法实现同时定位和地图构建-Robot localization algorithm EKF-SLAM，Using extended Calman filter method to achieve the simultaneous localization and map building
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机器人足球赛，人形机器人在足球场的定位问题。采用粒子滤波方法，此为模拟的文件。-Robot soccer, humanoid robot localization problem in football. Using particle filter, this is the simulation of the file.
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Particle filter for robot localization based on WiFi
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Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.
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Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.
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基于直线特征的slam机器人定位算法实现和优化。-Slam robot localization algorithm based on linear feature implementation and optimization.
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mat-pso-localization
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Mobile robot localization using Particle Swarm Optimization
This is a simple localization algorithm for mobile robots that accepts a
prebuilt map of the robot s enviornment stored as an occupancy grid
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