Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
controls (u) imposed on the robot. Finally, a prior probability of the robot’s state is also necessary. The Bayes Filter Framework. Source: Probabilistic Robotics slides From the image above, we see that the sensor model is described as p(z|x), or the probability of the current observation z, given