Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
current time t. For Bayesian Filters to be feasible, we model the evolution of the state as a Markov Chain. This implies that the future state of a process only depends on its current state, not on the sequence of events that preceded it. In other words, given the present, the future is independent