Autonomous Navigation of a Mobile Robot Using Overhead Camera and Computer Vision Methods for Time-Critical Tasks

This paper describes the implementation of an in-telligent navigation system for the mobile robot GFS-X equipped with a manipulator, aimed at solving a range of tasks on the arena within a limited time frame. The approach to route planning and adjustment using a map obtained from an overhead camera is examined. YOLOv11 is utilized to gather information about the location of objects and their identification.