Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
modeled with Gaussians, and as such, must also be linear in its arguments with added Gaussian noise to account for the noisy nature of sensors. Likelihood of a measurement z via the sensor model. Source: Probabilistic Robotics slides. Finally, the last missing component from the framework is a