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大范围环境下移动机器人同步定位和地图创建研究-Large-scale environment for mobile robot simultaneous localization and map building research
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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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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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This tutorial is very usful for the beginer of SLAM(The simultaneous localization and mapping)
It is possible for a mobile robot to be
placed at an unknown location in an unknown environmen.
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MATLAB-based simulators for mobile robot Simultaneous Localization and Mapping
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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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这是关于机器人定位方面的代码,关于Monte Carlo的一些详尽算法.希望对大家有用.来自多蒙工大.-implement a Monte Carlo localization scheme for a 3DOF mobile robot.hope useful for you..
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粒子滤波的文章，讲述了网络移动机器人粒子滤波定位研究，提供了有助于思考的想法和实现。
-Self-localization,especially the global localization in which the initial pose of
the robot is unknown,is the key for a mobile robot to realize autonomy.
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ekf_algorithm
for Mobile Robot Localization
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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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For a mobile robot to be truly autonomous, it must solve the simultaneous localization and mapping (SLAM) problem. We develop a new metaheuristic algorithm called Simulated Tom Thumb (STT), based on the detailed adventure of the clever Tom Thumb and
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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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