# Recommended Readings
PDF Available Here
# Topic to Chapter Mapping
Localization
Chapter 1: Introduction
Chapter 2: Recursive State Estimation
Chapter 4: Nonparametric Filters, Sections 4.1-4.2
Chapter 5: Robot Motion (not listed in the canvas links, but some useful stuff in here)
Chapter 6: Robot Perception (not listed in the canvas link, but some useful stuff in here)
Chapter 7: Mobile Robot Localization, Sections 7.1-7.3
Kalman Filters
- Chapter 3: Gaussian Filters, Sections 3.1-3.2 (but checkout the sections on EKF and UKF if you want a deeper dive)
Particle Filters
Chapter 4: Nonparametric Filters, Sections 4.3 (but checkout the whole chapter for a deeper dive)
Chapter 8: Mobile Robot Localization. Sections 8.3
Search
Chapter 8: Mobile Robot Localization, Sections 8.1-8.2 (not listed in the canvas links, but loosely related covering Grids)
Chapter 14: Markov Decision Processes
Chapter 15: Partially Observable Markov Decision Processes
PID Control
not covered in the book
SLAM
Chapter 10: Simultaneous Localization and Mapping
Chapter 11: The GraphSLAM Algorithm
Chapter 13: The FastSLAM Algorithm
# Useful Links
- Notes of a Student
- Localization - Ordered Transcript and Notes with explanation by a student
- Mathjax Tutorial