Extended Kalman Filter Trajectory Prediction Method Based on Constant Angular Velocity and Velocity Kinematics Model

Aiming at the problem of predicting future trajectory of the target robot, we propose an extended Kalman filter trajectory prediction algorithm based on the constant angular velocity and velocity kinematics model. Our algorithm begins by using the constant angular velocity and velocity model to accurately model the kinematics of target robot. We then analyze the motion state equation of the robot and use the extended Kalman filter algorithm to predict the robot's future trajectory. Our simulation results demonstrate that our proposed algorithm can effectively predict the future trajectory of the target robot with a high degree of accuracy. This approach has important implications for robotics research and development, and has the potential to enhance the capabilities of robotic systems in a wide range of applications.