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4.1 Belief state in 2D 4.1.1 Introduction How robots can keep track of where they are in space and time using these particle filter algorithms to repr 阅读全文
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3.1 robotic mapping 3.1.1 Introduction 3.1.2 Introduction to mapping Map and Mapping (1) map is a spatial model of robot's environment (2) mapping is 阅读全文
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2.1 Motivation 2.1.1 Introduction How to track the uncertainty of estimating Dynamical Systems over time, using Kalman Filter to perform these estimat 阅读全文
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第一周 you learned about how to use Gaussian Models to estimate and learn from uncertain data. 第二周 we saw how to track these distributions over time in w 阅读全文