Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
of the past. This is a powerful simplifying assumption that makes modeling and computation more feasible because it reduces the complexity of dependency structures. The Markov Assumption. Source: Probabilistic Robotics slides Starting from the Bayes Formula, with Bel(x_t) = p(x_t | u_1:t, z_1:t),