Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
information gained from the measurement. This adjustment is proportional to the Kalman gain and depends on how much we trust our sensors. A larger gain indicates more trust in the sensors, leading to a greater reduction in covariance and increased certainty. Conversely, if the sensors are noisy and