Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
trigonometric functions of the orientation θ When a Linear Kalman Filter is used, its state transition matrix, tailored for linear dynamics, doesn’t accurately track the evolution of non-linear systems. This inaccuracy can lead to accumulating errors and diverging estimates, especially over