Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
state x, ensuring that μ and x share the same dimension. The second parameter, Σ, the covariance, represents the uncertainty in our estimation, with its dimensionality being the square of the dimensionality of x. Thus, our robot can now encapsulate its belief about the world using these two