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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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概率机器人基于卡尔曼滤波器实现实时定位和地图创建（SLAM）的算法，用matlab编写，涵盖了机器人二维场景。-The simultaneous localization and mapping algorithm based on the Kalman filter. Robot work enviroment is 2D.
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基于视觉信息的移动机器人同步地图创建与定位(vSLAM)问题是机器人自主导航技术的关键，已经成为自主移动机器人面临的重要基础性难题。-Mobile robot based on visual information synchronized map building and localization (vSLAM) is the key autonomous navigation technology has become an important autonomous mobile robot
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With mobile robot being applied to military area、manufacturing and daily llife
etc，it is an active and promising research area and attracts much more attention．
Mobile robot’S localization and navigation based on stereo vision is becoming one of
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论文，机器学习的应用，采用视觉定位门，实现机器人开门的操作。-The localization of door using vision to accomplish the robot door opening.
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基于扩展卡尔曼滤波（EKF）的机器人即时定位与建图仿真示例(An extended EKF based robot real-time localization and construction diagram simulation example)
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