Method for recommending location of charging station and moving robot performing the same

The present disclosure relates to a mobile robot capable of communicating with peripheral devices via a 5G communication environment, and recommending an efficient movement route and a location of a charging station via machine learning performed based on such communication. When the mobile robot according to the present disclosure is travelling, a score may be assigned to areas of items according to a type of an item located within a movement space in which the mobile robot moves. Here, a plus score may be assigned to an item area where presence of a socket is verified. Further, a highest score may be assigned to a movement route having a shortest distance required for the mobile robot to return to a charging station which charges a battery of the mobile robot, among the movement routes on which the mobile robot moves.