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使用Extended Kalman Filter进行SLAM的新版本代码,主要用于机器人定位和地图自动绘制。-The New Version of SLAM code using Extended Kalman Filter, used in the field of robot localization and map building
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使用Unscented Kalman Filter进行SLAM,主要用于机器人定位和地图自动绘制,UKF的效果要优于EKF,当然计算量也大些。-The Matlab code for SLAM using Unscented Kalman Filter, mainly used for robot localization and map building
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机器人蒙特卡洛自定位,通过场地白色标志线进行定位-robot localization for MCL, by the white line in the field
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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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