Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
the past position x’. The prior p(x) is our current estimate of the state, and the posterior or belief is our target estimate after having incorporated the observations (z) and the control inputs (u), and is denoted by p(x_t | u_1:t, z_1:t) where 1:t denotes all inputs from initial time 1 to