This notebook coded the alogrithms talked in the Artificial Intelligence for Robotics

It covers the following alogrithms: ###State Estimation and Localization:

• Monte Carlo Localization
• Histogram Filters
• Kalman Filters
• Particle Filters

###Motion Planning:

• A* Alogrithm
• Dynamic Programming for deterministic motion
• Dynamic Programming for stochastic motion

###PID Control:

• Path Smoothing(Non-cyclic path smoothing, cyclic path smoothing, constrained path smoothing)
• PID Control
• Twiddle Algorithm for parameter optimization (Automatically Tuning kp, ki, and kd)

###Combined: This notebook puts most of the algorithms talked in the class together including particle filters, A* algorithm, smoothing, PID control.

###SLAM:

• Graph SLAM
• Online SLAM