Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
(line 4) involves updating our belief by incorporating the observations z_t at time t using the sensor model. Notice how this is done in a loop, where the prediction depends on the past posterior bel(x_t-1), and the update depends on the current prediction bel^bar(x_t). Because of this, we call it