A Mobile Robot with the Functions of Visual Navigation and Digital Identification

A robot that uses camera vision to guide movement, enabling pathfinding without relying on sensors other than vision is designed in this paper. Image-based digital recognition is also incorporated, thereby improving the robot's ability to receive commands and sense the environment. In addition, an adaptive line patrol algorithm based on fuzzy PID control is proposed. The algorithm takes two variables, position deviation and angle deviation between the robot and the guiding line, as inputs to the fuzzy controller, and the robust control effect is obtained and the accurate visual guidance is realized. Finally, it is experimentally verified that the proposed fuzzy PID controller has a better control effect compared with simple PID and traditional fuzzy PID, and the efficient human-robot interaction capability and stable pathfinding function of this robot are proved. The proposed technology is a technical guide for developing robots for hospital environmental monitoring, disinfection, and contactless distribution of items.