Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
its actuators, as well as the current observations (z_t) of the environment obtained through the robot’s sensors. In line 2, the filter predicts the new state of the robot by updating its two parameters. Specifically, it updates the expected value by linearly transforming the past μ_t−1​ into the