摘要：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

摘要：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

摘要：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

摘要：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