Robot-Aided Aiming Coordinate Positioning System Based on Vision and Infrared

In this paper, a walking robot-assisted targeting system based on sensor system and vision processing was designed to improve the aiming accuracy and efficiency of the robot. The system is equipped with a variety of sensors, such as cameras and infrared, to obtain information about the surrounding environment in real time. Image processing is used to analyze the image of the camera, and the data measured by the sensor is processed by the Kalman filter algorithm to identify the target object and obtain its position and motion state. Adjust the position and orientation of the robot to better aim at the target object.