Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
transformations. When a Gaussian random variable undergoes a linear transformation, the outcome remains a Gaussian random variable. Beginning with a variable x characterized by parameters μ and Σ, we can subject x to a linear transformation by multiplying it by a matrix A and adding a matrix B. The