Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
innovation, which represents the disparity between the sensor measurements (z_t) and the prediction according to the sensor model (C_t .μ^bar_t). The Kalman gain (K_t​) determines how much of this innovation is integrated. Put simply, if we have low confidence in our sensor (indicated by a large