Method for robot recognition and localization based on third-person perspective

To achieve the recognition and positioning functions of indoor mobile robots under limited computing power conditions, a method based on color recognition for robot recognition and positioning is proposed. The global image of the robot working in the field is collected by a camera outside the field, and the position of the robot is obtained through computer vision processing. Then, the robot is controlled to move according to this information. Experiments conducted within a 2m × 1m area have shown that the maximum error during robot operation is 7.8cm/m, with an average error of 7.0cm/m. The maximum error of the steering angle is 16.6°, with an average error of 7.7°.